From 96841e611cd91a48489fb4e33c49cc35c8d01bed Mon Sep 17 00:00:00 2001 From: IdrissaIyamuremye Date: Wed, 7 Jan 2026 16:47:42 +0300 Subject: [PATCH 1/8] Added XGBoost for classification and for Regression --- .../Model/XGBoost/XGBoostClassification.py | 146 ++++++++++++++++ .../Model/XGBoost/XGBoostRegression.py | 157 ++++++++++++++++++ Classification/Model/XGBoost/__init__.py | 0 .../XGBoostClassification.cpython-314.pyc | Bin 0 -> 8899 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 191 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 183 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 177 bytes test/Classifier/XGBoostClassificationTest.py | 54 ++++++ test/Classifier/XGboostRegression.py | 46 +++++ .../XGBoostClassificationTest.cpython-314.pyc | Bin 0 -> 3405 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 178 bytes test/__pycache__/__init__.cpython-314.pyc | Bin 0 -> 167 bytes 12 files changed, 403 insertions(+) create mode 100644 Classification/Model/XGBoost/XGBoostClassification.py create mode 100644 Classification/Model/XGBoost/XGBoostRegression.py create mode 100644 Classification/Model/XGBoost/__init__.py create mode 100644 Classification/Model/XGBoost/__pycache__/XGBoostClassification.cpython-314.pyc create mode 100644 Classification/Model/XGBoost/__pycache__/__init__.cpython-314.pyc create mode 100644 Classification/Model/__pycache__/__init__.cpython-314.pyc create mode 100644 Classification/__pycache__/__init__.cpython-314.pyc create mode 100644 test/Classifier/XGBoostClassificationTest.py create mode 100644 test/Classifier/XGboostRegression.py create mode 100644 test/Classifier/__pycache__/XGBoostClassificationTest.cpython-314.pyc create mode 100644 test/Classifier/__pycache__/__init__.cpython-314.pyc create mode 100644 test/__pycache__/__init__.cpython-314.pyc diff --git a/Classification/Model/XGBoost/XGBoostClassification.py b/Classification/Model/XGBoost/XGBoostClassification.py new file mode 100644 index 0000000..b81be93 --- /dev/null +++ b/Classification/Model/XGBoost/XGBoostClassification.py @@ -0,0 +1,146 @@ +import numpy as np +import copy + + +# Classification Tree (single tree) + +class ClassificationTree: + def __init__(self, max_depth=3, reg_lambda=1.0, prune_gamma=0.0): + self.max_depth = max_depth # Maximum depth + self.reg_lambda = reg_lambda # Regularization constant + self.prune_gamma = prune_gamma # Pruning threshold + self.estimator1 = None # Tree structure before assigning leaf values + self.estimator2 = None # Tree structure with leaf values + self.feature = None # Feature matrix + self.residual = None # Residuals (negative gradient) + self.base_score = None # Initial log-odds + + # Find best split for current node + def node_split(self, did): + r = self.reg_lambda + max_gain = -np.inf + d = self.feature.shape[1] + G = -self.residual[did].sum() + H = did.shape[0] + p_score = (G**2)/(H + r) + best_split = None + + for k in range(d): + X_feat = self.feature[did, k] + x_uniq = np.unique(X_feat) + s_point = [(x_uniq[i-1]+x_uniq[i])/2 for i in range(1,len(x_uniq))] + l_bound = -np.inf + for j in s_point: + left = did[(X_feat>l_bound)&(X_feat<=j)] + right = did[X_feat>j] + if len(left)==0 or len(right)==0: + continue + GL = -self.residual[left].sum() + HL = left.shape[0] + GR = G - GL + HR = H - HL + gain = (GL**2)/(HL+r) + (GR**2)/(HR+r) - p_score + if gain > max_gain: + max_gain = gain + best_split = {"fid": k, "split_point": j, "left": left, "right": right} + l_bound = j + if max_gain >= self.prune_gamma: + return best_split + return np.nan + + # Recursively split nodes + def recursive_split(self, node, curr_depth): + if curr_depth >= self.max_depth or not isinstance(node, dict): + return + self.recursive_split(node.get("left"), curr_depth+1) + self.recursive_split(node.get("right"), curr_depth+1) + + # Leaf value for log-loss + def output_value(self, did): + return np.sum(self.residual[did]) / (did.shape[0] + self.reg_lambda) + + # Assign leaf values to all leaves + def output_leaf(self, d): + if isinstance(d, dict): + for key in ["left","right"]: + val = d[key] + if isinstance(val, dict): + self.output_leaf(val) + else: + d[key] = self.output_value(val) + + # Fit tree to residuals + def fit(self, X, residuals): + self.feature = X + self.residual = residuals + root = self.node_split(np.arange(X.shape[0])) + if isinstance(root, dict): + self.recursive_split(root, curr_depth=1) + self.estimator2 = copy.deepcopy(root) + self.output_leaf(self.estimator2) + return self.estimator2 + + # Predict single sample + def x_predict(self, p, x): + if x[p["fid"]] <= p["split_point"]: + if isinstance(p["left"], dict): + return self.x_predict(p["left"], x) + else: + return p["left"] + else: + if isinstance(p["right"], dict): + return self.x_predict(p["right"], x) + else: + return p["right"] + + # Predict multiple samples + def predict(self, X): + if self.estimator2 is None: + return np.zeros(X.shape[0]) + return np.array([self.x_predict(self.estimator2, x) for x in X]) + +# Built XGBoost Classifier +class MyXGBoostClassifier: + def __init__(self, n_estimator=10, max_depth=3, reg_lambda=1.0, prune_gamma=0.0, learning_rate=0.1): + self.n_estimator = n_estimator # Number of trees + self.max_depth = max_depth # Maximum depth of each tree + self.reg_lambda = reg_lambda # Regularization constant + self.prune_gamma = prune_gamma # Pruning threshold + self.learning_rate = learning_rate # Learning rate + self.trees = [] # List to store trees + self.base_score = None # Initial log-odds + + # Sigmoid to convert log-odds to probability + def sigmoid(self, x): + return 1/(1+np.exp(-x)) + + # Fit ensemble + def fit(self, X, y): + n_samples = X.shape[0] + # Initial log-odds + p = np.clip(np.mean(y),1e-6,1-1e-6) + self.base_score = np.log(p/(1-p)) + y_pred = np.full(n_samples, self.base_score) + + for m in range(self.n_estimator): + # Compute residuals: negative gradient of log-loss + p_pred = self.sigmoid(y_pred) + residuals = y - p_pred + tree = ClassificationTree(max_depth=self.max_depth, + reg_lambda=self.reg_lambda, + prune_gamma=self.prune_gamma) + tree.fit(X, residuals) + update = tree.predict(X) + y_pred += self.learning_rate * update + self.trees.append(tree) + + # Predict probability + def predict_proba(self, X): + y_pred = np.full(X.shape[0], self.base_score) + for tree in self.trees: + y_pred += self.learning_rate * tree.predict(X) + return self.sigmoid(y_pred) + + # Predict class label + def predict(self, X, threshold=0.5): + return (self.predict_proba(X) >= threshold).astype(int) diff --git a/Classification/Model/XGBoost/XGBoostRegression.py b/Classification/Model/XGBoost/XGBoostRegression.py new file mode 100644 index 0000000..7c2254d --- /dev/null +++ b/Classification/Model/XGBoost/XGBoostRegression.py @@ -0,0 +1,157 @@ +import numpy as np +import copy + +# Implement Greedy Algorithm for split finding in a regression tree +class RegressionTree: + def __init__(self, n_estimator=1, max_depth=3, reg_lambda=1.0, prune_gamma=0.0): + self.n_estimator = n_estimator # Number of estimators + self.max_depth = max_depth # Maximum depth of the tree + self.reg_lambda = reg_lambda # Regularization constant + self.prune_gamma = prune_gamma # Pruning threshold + self.estimator1 = None # Tree structure before assigning leaf values + self.estimator2 = None # Tree structure with leaf values + self.feature = None # Feature matrix (X) + self.residual = None # Residuals (y - prediction) + self.base_score = None # Initial prediction (mean of residuals) + + # Regularized learning objective: + # Split a node into left and right to maximize gain + def node_split(self, did): + r = self.reg_lambda + max_gain = -np.inf + d = self.feature.shape[1] # Number of features + + # Calculate gradient before split + G = -self.residual[did].sum() # Sum of residuals + H = did.shape[0] # Number of samples in node + p_score = (G**2) / (H + r) # Score before the split + + best_split = None + + # Iterate over all features to find best split + for k in range(d): + X_feat = self.feature[did, k] + x_uniq = np.unique(X_feat) + # Candidate split points: midpoints between unique sorted feature values + s_point = [(x_uniq[i-1] + x_uniq[i])/2 for i in range(1, len(x_uniq))] + + l_bound = -np.inf + for j in s_point: + # Split samples into left and right nodes + left = did[(X_feat > l_bound) & (X_feat <= j)] + right = did[X_feat > j] + + if len(left) == 0 or len(right) == 0: + continue + + # Calculate gradients and hessians for left and right + GL = -self.residual[left].sum() + HL = left.shape[0] + GR = G - GL + HR = H - HL + + # Calculate gain for this split + gain = (GL**2)/(HL + r) + (GR**2)/(HR + r) - p_score + + if gain > max_gain: + max_gain = gain + best_split = {"fid": k, "split_point": j, "left": left, "right": right} + + l_bound = j + + # Only split if gain exceeds pruning threshold + if max_gain >= self.prune_gamma: + return best_split + return np.nan # No valid split found + + # Recursively split tree nodes until maximum depth is reached + def recursive_split(self, node, curr_depth): + if curr_depth >= self.max_depth or not isinstance(node, dict): + return + + self.recursive_split(node.get("left"), curr_depth + 1) + self.recursive_split(node.get("right"), curr_depth + 1) + + # Calculate output value for a leaf node (regularized) + def output_value(self, did): + return np.sum(self.residual[did]) / (did.shape[0] + self.reg_lambda) + + # Assign output values to all leaf nodes in the tree + def output_leaf(self, d): + if isinstance(d, dict): + for key in ["left", "right"]: + val = d[key] + if isinstance(val, dict): + self.output_leaf(val) + else: + # Replace node indices with actual leaf value + d[key] = self.output_value(val) + + # Fit the regression tree to feature matrix X and residuals y + def fit(self, x, y): + self.feature = x + self.residual = y + self.base_score = y.mean() # Initial prediction (mean of residuals) + + # Build the tree from root + root = self.node_split(np.arange(x.shape[0])) + if isinstance(root, dict): + self.recursive_split(root, curr_depth=1) + self.estimator1 = root + self.estimator2 = copy.deepcopy(root) + self.output_leaf(self.estimator2) # Assign leaf values + + return self.estimator2 + + # Predict output for a single sample + def x_predict(self, p, x): + if x[p["fid"]] <= p["split_point"]: + if isinstance(p["left"], dict): + return self.x_predict(p["left"], x) + else: + return p["left"] + else: + if isinstance(p["right"], dict): + return self.x_predict(p["right"], x) + else: + return p["right"] + + # Predict outputs for multiple samples + def predict(self, x_test): + if self.estimator2 is None: + # If tree is empty, return base score + return np.array([self.base_score] * x_test.shape[0]) + # Traverse tree for each sample + return np.array([self.x_predict(self.estimator2, x) for x in x_test]) + #Built XGBoostRegressor +class MyXGBoostRegressor: + def __init__(self, n_estimators=10, max_depth=3, reg_lambda=1.0, prune_gamma=0.0, learning_rate=0.1): + self.n_estimators = n_estimators + self.max_depth = max_depth + self.reg_lambda = reg_lambda + self.prune_gamma = prune_gamma + self.learning_rate = learning_rate + self.trees = [] + self.base_score = None + + def fit(self, X, y): + n_samples = X.shape[0] + # Initial prediction: mean of y + self.base_score = y.mean() + y_pred = np.full(n_samples, self.base_score) + + for m in range(self.n_estimators): + # Compute residuals (negative gradient for squared error) + residuals = y - y_pred + tree = RegressionTree(max_depth=self.max_depth, reg_lambda=self.reg_lambda, prune_gamma=self.prune_gamma) + tree.fit(X, residuals) + # Predict residuals and update y_pred + update = tree.predict(X) + y_pred += self.learning_rate * update + self.trees.append(tree) + + def predict(self, X): + y_pred = np.full(X.shape[0], self.base_score) + for tree in self.trees: + y_pred += self.learning_rate * tree.predict(X) + return y_pred \ No 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b/test/Classifier/XGBoostClassificationTest.py @@ -0,0 +1,54 @@ +import unittest +import numpy as np +from Classification.Model.XGBoost.XGBoostClassification import MyXGBoostClassifier +from sklearn.datasets import load_breast_cancer +from sklearn.model_selection import train_test_split + + +class TestXGBoostClassification(unittest.TestCase): + + @classmethod + def setUpClass(cls): + # Load data + data = load_breast_cancer() + X, y = data.data, data.target + + # Train / test split + cls.X_train, cls.X_test, cls.y_train, cls.y_test = train_test_split( + X, y, test_size=0.2, random_state=42 + ) + + # Train model (small + fast for unit tests) + cls.clf = MyXGBoostClassifier( + n_estimator=10, + max_depth=3, + learning_rate=0.1 + ) + cls.clf.fit(cls.X_train, cls.y_train) + + def test_model_created(self): + self.assertIsNotNone(self.clf) + + def test_predict_runs(self): + y_pred = self.clf.predict(self.X_test) + self.assertEqual(len(y_pred), len(self.y_test)) + + def test_predict_proba_runs(self): + + y_prob = self.clf.predict_proba(self.X_test) + + # Must return one probability per sample + self.assertEqual(len(y_prob), len(self.y_test)) + + # Probabilities must be between 0 and 1 + self.assertTrue((y_prob >= 0).all()) + self.assertTrue((y_prob <= 1).all()) + + + def test_prediction_values_valid(self): + y_pred = self.clf.predict(self.X_test) + self.assertTrue(np.all(np.isin(y_pred, [0, 1]))) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/Classifier/XGboostRegression.py b/test/Classifier/XGboostRegression.py new file mode 100644 index 0000000..d2f505d --- /dev/null +++ b/test/Classifier/XGboostRegression.py @@ -0,0 +1,46 @@ +import unittest +import numpy as np +from Classification.Model.XGBoost.XGBoostRegression import MyXGBoostRegressor +from sklearn.datasets import fetch_california_housing +from sklearn.model_selection import train_test_split + + +class TestXGBoostRegression(unittest.TestCase): + + @classmethod + def setUpClass(cls): + # Load dataset + data = fetch_california_housing() + X, y = data.data, data.target + + # Train / test split + cls.X_train, cls.X_test, cls.y_train, cls.y_test = train_test_split( + X, y, test_size=0.2, random_state=42 + ) + + # Train model (small & fast for unit tests) + cls.model = MyXGBoostRegressor( + n_estimators=10, + max_depth=3, + learning_rate=0.1 + ) + cls.model.fit(cls.X_train, cls.y_train) + + def test_model_created(self): + self.assertIsNotNone(self.model) + + def test_predict_runs(self): + y_pred = self.model.predict(self.X_test) + self.assertEqual(len(y_pred), len(self.y_test)) + + def test_predictions_are_finite(self): + y_pred = self.model.predict(self.X_test) + self.assertTrue(np.isfinite(y_pred).all()) + + def test_predictions_are_numeric(self): + y_pred = self.model.predict(self.X_test) + self.assertTrue(np.issubdtype(y_pred.dtype, np.number)) + + +if __name__ == "__main__": + unittest.main() diff --git 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HcmV?d00001 diff --git a/Classification/Model/Parametric/__pycache__/__init__.cpython-314.pyc b/Classification/Model/Parametric/__pycache__/__init__.cpython-314.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7a57595a3492b541787c1cf637b938390dfe0390 GIT binary patch literal 190 zcmdPq_I|p@<2{{|u76742*l6Iz^F zR2-9;X<%YzZf+Fgl3JWyl3x&0k)9OeoRe5woSBxHoLG{XpQjs8i6#=`o1c=J6BCeF zl$e`ZQk0n-6Ca2KczG$)vkyYXcx#e#UREfW=2NFB4!{907PCf AOaK4? literal 0 HcmV?d00001 diff --git a/Classification/Model/XGBoost/XGBoost.py b/Classification/Model/XGBoost/XGBoost.py new file mode 100644 index 0000000..6b48f69 --- /dev/null +++ b/Classification/Model/XGBoost/XGBoost.py @@ -0,0 +1,755 @@ +""" +XGBoost Classification Implementation +This module provides an enhanced XGBoost gradient boosting classifier with bug fixes, +performance optimizations, and additional features. +""" + +from math import log, exp +import random +from typing import List, Dict, Optional, Tuple +from Classification.Instance.Instance import Instance +from Classification.InstanceList.InstanceList import InstanceList +from Classification.Model.DecisionTree.DecisionTree import DecisionTree +from Classification.Model.DecisionTree.DecisionNode import DecisionNode +from Classification.Model.ValidatedModel import ValidatedModel +from Classification.Parameter.Parameter import Parameter + + +class XGBoostParameter(Parameter): + """ + Parameter class for XGBoost algorithm. + + Attributes: + __learning_rate: Step size shrinkage to prevent overfitting (0 < eta <= 1) + __n_estimators: Number of boosting rounds (trees) + __max_depth: Maximum depth of trees + __min_child_weight: Minimum sum of instance weight needed in a child + __gamma: Minimum loss reduction required for split + __subsample: Subsample ratio of training instances (0 < ratio <= 1) + __colsample_bytree: Subsample ratio of columns when constructing each tree + __reg_lambda: L2 regularization term on weights + __reg_alpha: L1 regularization term on weights + __early_stopping_rounds: Stop if no improvement for N rounds + """ + + def __init__(self, seed: int, + learning_rate: float = 0.3, + n_estimators: int = 100, + max_depth: int = 6, + min_child_weight: float = 0.0, + gamma: float = 0.0, + subsample: float = 1.0, + colsample_bytree: float = 1.0, + reg_lambda: float = 0.0, + reg_alpha: float = 0.0, + early_stopping_rounds: int = 10): + """ + Initialize XGBoost parameters with validation. + + Raises: + ValueError: If parameters are out of valid ranges + """ + super().__init__(seed) + + # Validate parameters + if not 0 < learning_rate <= 1: + raise ValueError("learning_rate must be in (0, 1]") + if n_estimators < 1: + raise ValueError("n_estimators must be at least 1") + if max_depth < 1: + raise ValueError("max_depth must be at least 1") + if min_child_weight < 0: + raise ValueError("min_child_weight must be non-negative") + if gamma < 0: + raise ValueError("gamma must be non-negative") + if not 0 < subsample <= 1: + raise ValueError("subsample must be in (0, 1]") + if not 0 < colsample_bytree <= 1: + raise ValueError("colsample_bytree must be in (0, 1]") + if reg_lambda < 0: + raise ValueError("reg_lambda must be non-negative") + if reg_alpha < 0: + raise ValueError("reg_alpha must be non-negative") + + self.__learning_rate = learning_rate + self.__n_estimators = n_estimators + self.__max_depth = max_depth + self.__min_child_weight = min_child_weight + self.__gamma = gamma + self.__subsample = subsample + self.__colsample_bytree = colsample_bytree + self.__reg_lambda = reg_lambda + self.__reg_alpha = reg_alpha + self.__early_stopping_rounds = early_stopping_rounds + + def getLearningRate(self) -> float: + return self.__learning_rate + + def getNEstimators(self) -> int: + return self.__n_estimators + + def getMaxDepth(self) -> int: + return self.__max_depth + + def getMinChildWeight(self) -> float: + return self.__min_child_weight + + def getGamma(self) -> float: + return self.__gamma + + def getSubsample(self) -> float: + return self.__subsample + + def getColsampleByTree(self) -> float: + return self.__colsample_bytree + + def getRegLambda(self) -> float: + return self.__reg_lambda + + def getRegAlpha(self) -> float: + return self.__reg_alpha + + def getEarlyStoppingRounds(self) -> int: + return self.__early_stopping_rounds + + +class XGBoostNode(DecisionNode): + """ + Extended DecisionNode for XGBoost that supports gradient-based splits. + Implements XGBoost-specific splitting logic with proper regularization. + """ + + EPSILON = 1e-10 # For numerical stability + + def __init__(self, data: InstanceList, + gradients: List[float], + hessians: List[float], + instance_indices: List[int], + condition=None, + parameter: XGBoostParameter = None, + depth: int = 0, + feature_subset: Optional[List[int]] = None): + """ + Initialize XGBoost decision node with gradient and hessian information. + """ + self.__gradients = gradients + self.__hessians = hessians + self.__instance_indices = instance_indices + self.__parameter = parameter + self.__depth = depth + self.__leaf_value = 0.0 + self.__feature_subset = feature_subset + + # Calculate leaf weight using gradient boosting formula + sum_gradients = sum(gradients[i] for i in instance_indices) + sum_hessians = sum(hessians[i] for i in instance_indices) + + if parameter is not None: + reg_lambda = parameter.getRegLambda() + reg_alpha = parameter.getRegAlpha() + else: + reg_lambda = 1.0 + reg_alpha = 0.0 + + # Leaf weight formula with L1 regularization: -G / (H + lambda) + if sum_hessians + reg_lambda > self.EPSILON: + if reg_alpha > self.EPSILON: + # Apply L1 regularization (soft thresholding) + if sum_gradients > reg_alpha: + self.__leaf_value = -(sum_gradients - reg_alpha) / (sum_hessians + reg_lambda) + elif sum_gradients < -reg_alpha: + self.__leaf_value = -(sum_gradients + reg_alpha) / (sum_hessians + reg_lambda) + else: + self.__leaf_value = 0.0 + else: + # No regularization - use pure gradient boosting formula + denominator = sum_hessians + reg_lambda if reg_lambda > 0 else sum_hessians + self.__leaf_value = -sum_gradients / max(denominator, 1e-10) + + # Initialize parent class attributes + self.leaf = True + self.children = [] + self._DecisionNode__condition = condition + self._DecisionNode__class_label = None + + # Store class distribution for compatibility + from Math.DiscreteDistribution import DiscreteDistribution + self._DecisionNode__classLabelsDistribution = DiscreteDistribution() + + # Get labels only for instances in this node + node_data = InstanceList() + for idx in instance_indices: + node_data.add(data.get(idx)) + + labels = node_data.getClassLabels() + for label in labels: + self._DecisionNode__classLabelsDistribution.addItem(label) + self._DecisionNode__class_label = InstanceList.getMaximum(labels) if labels else None + + # Check stopping criteria + if depth >= (parameter.getMaxDepth() if parameter else 6): + return + + if len(node_data.getDistinctClassLabels()) == 1: + return + + # Only check min_child_weight if it's positive + min_weight = parameter.getMinChildWeight() if parameter else 0.0 + if min_weight > 0 and sum_hessians < min_weight: + return + + if len(instance_indices) < 2: + return + + # Find best split using XGBoost gain calculation + self.__findBestSplit(data, gradients, hessians, instance_indices, parameter) + + def __findBestSplit(self, data: InstanceList, + gradients: List[float], + hessians: List[float], + instance_indices: List[int], + parameter: XGBoostParameter) -> None: + """ + Find the best split using XGBoost's gain formula. + """ + from Classification.Attribute.ContinuousAttribute import ContinuousAttribute + from Classification.Attribute.DiscreteAttribute import DiscreteAttribute + from Classification.Model.DecisionTree.DecisionCondition import DecisionCondition + + best_gain = 0.0 + best_attribute = -1 + best_split_value = 0.0 + best_split_type = None + best_left_indices = [] + best_right_indices = [] + + reg_lambda = parameter.getRegLambda() if parameter else 1.0 + gamma = parameter.getGamma() if parameter else 0.0 + min_child_weight = parameter.getMinChildWeight() if parameter else 1.0 + + sum_gradients = sum(gradients[i] for i in instance_indices) + sum_hessians = sum(hessians[i] for i in instance_indices) + + # Determine which features to consider + if self.__feature_subset is not None: + features_to_try = self.__feature_subset + else: + features_to_try = range(data.get(0).attributeSize()) + + # Try each attribute + for attr_idx in features_to_try: + attribute = data.get(instance_indices[0]).getAttribute(attr_idx) + + if isinstance(attribute, ContinuousAttribute): + # Sort instances by attribute value + sorted_indices = sorted(instance_indices, + key=lambda i: data.get(i).getAttribute(attr_idx).getValue()) + + left_gradient = 0.0 + left_hessian = 0.0 + + for i in range(len(sorted_indices) - 1): + idx = sorted_indices[i] + left_gradient += gradients[idx] + left_hessian += hessians[idx] + + current_value = data.get(idx).getAttribute(attr_idx).getValue() + next_value = data.get(sorted_indices[i + 1]).getAttribute(attr_idx).getValue() + + # Skip if values are identical + if abs(current_value - next_value) < self.EPSILON: + continue + + right_gradient = sum_gradients - left_gradient + right_hessian = sum_hessians - left_hessian + + # Check minimum child weight constraint (only if positive) + if min_child_weight > 0: + if left_hessian < min_child_weight or right_hessian < min_child_weight: + continue + + # Calculate gain with numerical stability + reg_term = reg_lambda if reg_lambda > 0 else 0 + gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) + gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) + gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) + + gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma + + if gain > best_gain: + best_gain = gain + best_attribute = attr_idx + best_split_value = (current_value + next_value) / 2.0 + best_split_type = 'continuous' + best_left_indices = sorted_indices[:i+1] + best_right_indices = sorted_indices[i+1:] + + elif isinstance(attribute, DiscreteAttribute): + # Get unique values for this attribute among instances in this node + value_set = set() + for idx in instance_indices: + value_set.add(data.get(idx).getAttribute(attr_idx).getValue()) + + value_list = list(value_set) + + # Try splitting on each value + for value in value_list: + left_gradient = 0.0 + left_hessian = 0.0 + left_indices = [] + right_indices = [] + + for idx in instance_indices: + if data.get(idx).getAttribute(attr_idx).getValue() == value: + left_gradient += gradients[idx] + left_hessian += hessians[idx] + left_indices.append(idx) + else: + right_indices.append(idx) + + right_gradient = sum_gradients - left_gradient + right_hessian = sum_hessians - left_hessian + + # Check minimum child weight constraint (only if positive) + if min_child_weight > 0: + if left_hessian < min_child_weight or right_hessian < min_child_weight: + continue + + # Calculate gain + reg_term = reg_lambda if reg_lambda > 0 else 0 + gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) + gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) + gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) + + gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma + + if gain > best_gain: + best_gain = gain + best_attribute = attr_idx + best_split_value = value + best_split_type = 'discrete' + best_left_indices = left_indices + best_right_indices = right_indices + + # Create children if a beneficial split was found + if best_attribute != -1 and best_gain > self.EPSILON: + self.leaf = False + + if best_split_type == 'continuous': + self.children.append( + XGBoostNode(data, gradients, hessians, best_left_indices, + DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), "<"), + parameter, self.__depth + 1, self.__feature_subset)) + self.children.append( + XGBoostNode(data, gradients, hessians, best_right_indices, + DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), ">="), + parameter, self.__depth + 1, self.__feature_subset)) + + elif best_split_type == 'discrete': + # For discrete attributes, first child gets instances with the value + # Second child gets instances without the value + # Note: We store both sets of indices since DecisionCondition != may not work correctly + left_child = XGBoostNode(data, gradients, hessians, best_left_indices, + DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), + parameter, self.__depth + 1, self.__feature_subset) + left_child._XGBoostNode__is_discrete_left = True + left_child._XGBoostNode__discrete_indices = set(best_left_indices) + + right_child = XGBoostNode(data, gradients, hessians, best_right_indices, + DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), + parameter, self.__depth + 1, self.__feature_subset) + right_child._XGBoostNode__is_discrete_left = False + right_child._XGBoostNode__discrete_indices = set(best_right_indices) + + self.children.append(left_child) + self.children.append(right_child) + + def predictLeafValue(self, instance: Instance) -> float: + """ + Predict the leaf value (weight) for the given instance. + """ + if self.leaf: + return self.__leaf_value + else: + # For discrete splits, we need special handling since != doesn't work + # Check if any child has discrete split markers + has_discrete = any(hasattr(child, '_XGBoostNode__is_discrete_left') for child in self.children) + + if has_discrete and len(self.children) == 2: + # This is a discrete split - check which child matches + left_child = self.children[0] + right_child = self.children[1] + + # Get the attribute index from condition + if left_child._DecisionNode__condition: + attr_idx = left_child._DecisionNode__condition._DecisionCondition__attribute_index + split_value = left_child._DecisionNode__condition._DecisionCondition__value.getValue() + instance_value = instance.getAttribute(attr_idx).getValue() + + # If instance value matches split value, go left; otherwise go right + if instance_value == split_value: + return left_child.predictLeafValue(instance) + else: + return right_child.predictLeafValue(instance) + + # Normal continuous split or fallback + for node in self.children: + if node._DecisionNode__condition.satisfy(instance): + return node.predictLeafValue(instance) + + # Fallback: if no condition matched, use first child + if len(self.children) > 0: + return self.children[0].predictLeafValue(instance) + + # Ultimate fallback + return self.__leaf_value + + +class XGBoostTree(DecisionTree): + """ + Single tree in the XGBoost ensemble. + """ + + def __init__(self, data: InstanceList, + gradients: List[float], + hessians: List[float], + instance_indices: List[int], + parameter: XGBoostParameter): + """ + Initialize XGBoost tree with gradient information. + """ + # Determine feature subset for this tree (colsample_bytree) + feature_subset = None + if parameter and parameter.getColsampleByTree() < 1.0: + n_features = data.get(0).attributeSize() + n_sample = max(1, int(n_features * parameter.getColsampleByTree())) + feature_subset = random.sample(range(n_features), n_sample) + + root = XGBoostNode(data, gradients, hessians, instance_indices, + None, parameter, 0, feature_subset) + self._DecisionTree__root = root + + def predictValue(self, instance: Instance) -> float: + """ + Predict the raw value for gradient boosting. + """ + return self._DecisionTree__root.predictLeafValue(instance) + + +class XGBoostClassifier(ValidatedModel): + """ + XGBoost Gradient Boosting Classifier. + """ + + def __init__(self): + """ + Initialize XGBoost classifier. + """ + self.__trees = [] + self.__class_labels = [] + self.__n_classes = 0 + self.__base_score = 0.0 + self.__parameter = None + self.__feature_importance = {} + self.__training_history = [] + + def __sigmoid(self, x: float) -> float: + """ + Apply sigmoid function with numerical stability. + """ + if x > 20: + return 1.0 + if x < -20: + return 0.0 + return 1.0 / (1.0 + exp(-x)) + + def __softmax(self, scores: List[float]) -> List[float]: + """ + Apply softmax function with numerical stability. + """ + max_score = max(scores) + exp_scores = [exp(s - max_score) for s in scores] + sum_exp = sum(exp_scores) + return [e / sum_exp for e in exp_scores] + + def train(self, trainSet: InstanceList, parameters: XGBoostParameter, + validationSet: Optional[InstanceList] = None) -> None: + """ + Train the XGBoost classifier. + """ + self.__parameter = parameters + self.__class_labels = trainSet.getDistinctClassLabels() + self.__n_classes = len(self.__class_labels) + self.__training_history = [] + self.__trees = [] # Initialize/reset trees + + # Set random seed for reproducibility + random.seed(parameters.getSeed()) + + if self.__n_classes == 2: + # Binary classification + self.__trainBinary(trainSet, parameters, validationSet) + else: + # Multiclass classification + self.__trainMulticlass(trainSet, parameters, validationSet) + + def __trainBinary(self, trainSet: InstanceList, + parameters: XGBoostParameter, + validationSet: Optional[InstanceList] = None) -> None: + """ + Train for binary classification. + """ + n_samples = trainSet.size() + + # Initialize with log odds + positive_count = sum(1 for i in range(n_samples) + if trainSet.get(i).getClassLabel() == self.__class_labels[1]) + + if positive_count == 0: + self.__base_score = -5.0 + elif positive_count == n_samples: + self.__base_score = 5.0 + else: + self.__base_score = log(positive_count / (n_samples - positive_count)) + + predictions = [self.__base_score] * n_samples + + # Early stopping variables + best_val_error = float('inf') + rounds_without_improvement = 0 + best_n_trees = 0 + + # Boosting iterations + for iteration in range(parameters.getNEstimators()): + # Sample instances + if parameters.getSubsample() < 1.0: + n_subsample = max(1, int(n_samples * parameters.getSubsample())) + sample_indices = random.sample(range(n_samples), n_subsample) + else: + sample_indices = list(range(n_samples)) + + # Calculate gradients and hessians + gradients = [0.0] * n_samples + hessians = [0.0] * n_samples + + for i in range(n_samples): + pred_prob = self.__sigmoid(predictions[i]) + true_label = 1.0 if trainSet.get(i).getClassLabel() == self.__class_labels[1] else 0.0 + + gradients[i] = pred_prob - true_label + hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) + + # Build tree + tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) + self.__trees.append(tree) + + # Update predictions + learning_rate = parameters.getLearningRate() + for i in range(n_samples): + predictions[i] += learning_rate * tree.predictValue(trainSet.get(i)) + + # Early stopping check + if validationSet is not None: + val_error = self.__calculateError(validationSet) + self.__training_history.append({ + 'iteration': iteration, + 'validation_error': val_error + }) + + if val_error < best_val_error: + best_val_error = val_error + best_n_trees = iteration + 1 + rounds_without_improvement = 0 + else: + rounds_without_improvement += 1 + + if rounds_without_improvement >= parameters.getEarlyStoppingRounds(): + self.__trees = self.__trees[:best_n_trees] + break + + def __trainMulticlass(self, trainSet: InstanceList, + parameters: XGBoostParameter, + validationSet: Optional[InstanceList] = None) -> None: + """ + Train for multiclass classification. + """ + n_samples = trainSet.size() + + # Initialize predictions for each class + predictions = [[0.0 for _ in range(n_samples)] for _ in range(self.__n_classes)] + + # Initialize trees as list of lists + self.__trees = [[] for _ in range(self.__n_classes)] + + # Early stopping variables + best_val_error = float('inf') + rounds_without_improvement = 0 + best_n_trees = 0 + + for iteration in range(parameters.getNEstimators()): + # Sample instances + if parameters.getSubsample() < 1.0: + n_subsample = max(1, int(n_samples * parameters.getSubsample())) + sample_indices = random.sample(range(n_samples), n_subsample) + else: + sample_indices = list(range(n_samples)) + + for class_idx in range(self.__n_classes): + target_class = self.__class_labels[class_idx] + + # Calculate gradients and hessians + gradients = [0.0] * n_samples + hessians = [0.0] * n_samples + + for i in range(n_samples): + scores = [predictions[c][i] for c in range(self.__n_classes)] + probs = self.__softmax(scores) + + true_label = 1.0 if trainSet.get(i).getClassLabel() == target_class else 0.0 + pred_prob = probs[class_idx] + + gradients[i] = pred_prob - true_label + hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) + + # Build tree + tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) + self.__trees[class_idx].append(tree) + + # Update predictions + learning_rate = parameters.getLearningRate() + for i in range(n_samples): + predictions[class_idx][i] += learning_rate * tree.predictValue(trainSet.get(i)) + + # Early stopping check + if validationSet is not None: + val_error = self.__calculateError(validationSet) + self.__training_history.append({ + 'iteration': iteration, + 'validation_error': val_error + }) + + if val_error < best_val_error: + best_val_error = val_error + best_n_trees = iteration + 1 + rounds_without_improvement = 0 + else: + rounds_without_improvement += 1 + + if rounds_without_improvement >= parameters.getEarlyStoppingRounds(): + for class_idx in range(self.__n_classes): + self.__trees[class_idx] = self.__trees[class_idx][:best_n_trees] + break + + def __calculateError(self, testSet: InstanceList) -> float: + """ + Calculate classification error. + """ + n_errors = 0 + for i in range(testSet.size()): + instance = testSet.get(i) + predicted = self.predict(instance) + if predicted != instance.getClassLabel(): + n_errors += 1 + return n_errors / testSet.size() if testSet.size() > 0 else 0.0 + + def predict(self, instance: Instance) -> str: + """ + Predict class label. + """ + # Check if multiclass (list of lists) or binary (flat list) + if self.__trees and isinstance(self.__trees[0], list): + # Multiclass + scores = [0.0] * self.__n_classes + learning_rate = self.__parameter.getLearningRate() + + for class_idx in range(self.__n_classes): + for tree in self.__trees[class_idx]: + scores[class_idx] += learning_rate * tree.predictValue(instance) + + max_idx = scores.index(max(scores)) + return self.__class_labels[max_idx] + else: + # Binary + score = self.__base_score + learning_rate = self.__parameter.getLearningRate() + + for tree in self.__trees: + score += learning_rate * tree.predictValue(instance) + + prob = self.__sigmoid(score) + return self.__class_labels[1] if prob >= 0.5 else self.__class_labels[0] + + def predictProbability(self, instance: Instance) -> Dict[str, float]: + """ + Predict probability distribution. + """ + if self.__trees and isinstance(self.__trees[0], list): + # Multiclass + scores = [0.0] * self.__n_classes + learning_rate = self.__parameter.getLearningRate() + + for class_idx in range(self.__n_classes): + for tree in self.__trees[class_idx]: + scores[class_idx] += learning_rate * tree.predictValue(instance) + + probs = self.__softmax(scores) + return {self.__class_labels[i]: probs[i] for i in range(self.__n_classes)} + else: + # Binary + score = self.__base_score + learning_rate = self.__parameter.getLearningRate() + + for tree in self.__trees: + score += learning_rate * tree.predictValue(instance) + + prob_positive = self.__sigmoid(score) + return { + self.__class_labels[0]: 1.0 - prob_positive, + self.__class_labels[1]: prob_positive + } + + def getTrainingHistory(self) -> List[Dict]: + """ + Get training history. + """ + return self.__training_history + + def getFeatureImportance(self) -> Dict[int, float]: + """ + Get feature importance scores. + """ + return self.__feature_importance + + def loadModel(self, fileName: str) -> None: + """ + Load model from file. + """ + import pickle + try: + with open(fileName, 'rb') as f: + model_data = pickle.load(f) + self.__trees = model_data['trees'] + self.__class_labels = model_data['class_labels'] + self.__n_classes = model_data['n_classes'] + self.__base_score = model_data['base_score'] + self.__parameter = model_data['parameter'] + except Exception as e: + raise IOError(f"Failed to load model from {fileName}: {str(e)}") + + def saveModel(self, fileName: str) -> None: + """ + Save model to file. + """ + import pickle + try: + model_data = { + 'trees': self.__trees, + 'class_labels': self.__class_labels, + 'n_classes': self.__n_classes, + 'base_score': self.__base_score, + 'parameter': self.__parameter + } + with open(fileName, 'wb') as f: + pickle.dump(model_data, f) + except Exception as e: + raise IOError(f"Failed to save model to {fileName}: {str(e)}") \ No newline at end of file diff --git a/Classification/Model/XGBoost/XGBoostClassification.py b/Classification/Model/XGBoost/XGBoostClassification.py deleted file mode 100644 index b81be93..0000000 --- a/Classification/Model/XGBoost/XGBoostClassification.py +++ /dev/null @@ -1,146 +0,0 @@ -import numpy as np -import copy - - -# Classification Tree (single tree) - -class ClassificationTree: - def __init__(self, max_depth=3, reg_lambda=1.0, prune_gamma=0.0): - self.max_depth = max_depth # Maximum depth - self.reg_lambda = reg_lambda # Regularization constant - self.prune_gamma = prune_gamma # Pruning threshold - self.estimator1 = None # Tree structure before assigning leaf values - self.estimator2 = None # Tree structure with leaf values - self.feature = None # Feature matrix - self.residual = None # Residuals (negative gradient) - self.base_score = None # Initial log-odds - - # Find best split for current node - def node_split(self, did): - r = self.reg_lambda - max_gain = -np.inf - d = self.feature.shape[1] - G = -self.residual[did].sum() - H = did.shape[0] - p_score = (G**2)/(H + r) - best_split = None - - for k in range(d): - X_feat = self.feature[did, k] - x_uniq = np.unique(X_feat) - s_point = [(x_uniq[i-1]+x_uniq[i])/2 for i in range(1,len(x_uniq))] - l_bound = -np.inf - for j in s_point: - left = did[(X_feat>l_bound)&(X_feat<=j)] - right = did[X_feat>j] - if len(left)==0 or len(right)==0: - continue - GL = -self.residual[left].sum() - HL = left.shape[0] - GR = G - GL - HR = H - HL - gain = (GL**2)/(HL+r) + (GR**2)/(HR+r) - p_score - if gain > max_gain: - max_gain = gain - best_split = {"fid": k, "split_point": j, "left": left, "right": right} - l_bound = j - if max_gain >= self.prune_gamma: - return best_split - return np.nan - - # Recursively split nodes - def recursive_split(self, node, curr_depth): - if curr_depth >= self.max_depth or not isinstance(node, dict): - return - self.recursive_split(node.get("left"), curr_depth+1) - self.recursive_split(node.get("right"), curr_depth+1) - - # Leaf value for log-loss - def output_value(self, did): - return np.sum(self.residual[did]) / (did.shape[0] + self.reg_lambda) - - # Assign leaf values to all leaves - def output_leaf(self, d): - if isinstance(d, dict): - for key in ["left","right"]: - val = d[key] - if isinstance(val, dict): - self.output_leaf(val) - else: - d[key] = self.output_value(val) - - # Fit tree to residuals - def fit(self, X, residuals): - self.feature = X - self.residual = residuals - root = self.node_split(np.arange(X.shape[0])) - if isinstance(root, dict): - self.recursive_split(root, curr_depth=1) - self.estimator2 = copy.deepcopy(root) - self.output_leaf(self.estimator2) - return self.estimator2 - - # Predict single sample - def x_predict(self, p, x): - if x[p["fid"]] <= p["split_point"]: - if isinstance(p["left"], dict): - return self.x_predict(p["left"], x) - else: - return p["left"] - else: - if isinstance(p["right"], dict): - return self.x_predict(p["right"], x) - else: - return p["right"] - - # Predict multiple samples - def predict(self, X): - if self.estimator2 is None: - return np.zeros(X.shape[0]) - return np.array([self.x_predict(self.estimator2, x) for x in X]) - -# Built XGBoost Classifier -class MyXGBoostClassifier: - def __init__(self, n_estimator=10, max_depth=3, reg_lambda=1.0, prune_gamma=0.0, learning_rate=0.1): - self.n_estimator = n_estimator # Number of trees - self.max_depth = max_depth # Maximum depth of each tree - self.reg_lambda = reg_lambda # Regularization constant - self.prune_gamma = prune_gamma # Pruning threshold - self.learning_rate = learning_rate # Learning rate - self.trees = [] # List to store trees - self.base_score = None # Initial log-odds - - # Sigmoid to convert log-odds to probability - def sigmoid(self, x): - return 1/(1+np.exp(-x)) - - # Fit ensemble - def fit(self, X, y): - n_samples = X.shape[0] - # Initial log-odds - p = np.clip(np.mean(y),1e-6,1-1e-6) - self.base_score = np.log(p/(1-p)) - y_pred = np.full(n_samples, self.base_score) - - for m in range(self.n_estimator): - # Compute residuals: negative gradient of log-loss - p_pred = self.sigmoid(y_pred) - residuals = y - p_pred - tree = ClassificationTree(max_depth=self.max_depth, - reg_lambda=self.reg_lambda, - prune_gamma=self.prune_gamma) - tree.fit(X, residuals) - update = tree.predict(X) - y_pred += self.learning_rate * update - self.trees.append(tree) - - # Predict probability - def predict_proba(self, X): - y_pred = np.full(X.shape[0], self.base_score) - for tree in self.trees: - y_pred += self.learning_rate * tree.predict(X) - return self.sigmoid(y_pred) - - # Predict class label - def predict(self, X, threshold=0.5): - return (self.predict_proba(X) >= threshold).astype(int) diff --git a/Classification/Model/XGBoost/XGBoostRegression.py b/Classification/Model/XGBoost/XGBoostRegression.py deleted file mode 100644 index 7c2254d..0000000 --- a/Classification/Model/XGBoost/XGBoostRegression.py +++ /dev/null @@ -1,157 +0,0 @@ -import numpy as np -import copy - -# Implement Greedy Algorithm for split finding in a regression tree -class RegressionTree: - def __init__(self, n_estimator=1, max_depth=3, reg_lambda=1.0, prune_gamma=0.0): - self.n_estimator = n_estimator # Number of estimators - self.max_depth = max_depth # Maximum depth of the tree - self.reg_lambda = reg_lambda # Regularization constant - self.prune_gamma = prune_gamma # Pruning threshold - self.estimator1 = None # Tree structure before assigning leaf values - self.estimator2 = None # Tree structure with leaf values - self.feature = None # Feature matrix (X) - self.residual = None # Residuals (y - prediction) - self.base_score = None # Initial prediction (mean of residuals) - - # Regularized learning objective: - # Split a node into left and right to maximize gain - def node_split(self, did): - r = self.reg_lambda - max_gain = -np.inf - d = self.feature.shape[1] # Number of features - - # Calculate gradient before split - G = -self.residual[did].sum() # Sum of residuals - H = did.shape[0] # Number of samples in node - p_score = (G**2) / (H + r) # Score before the split - - best_split = None - - # Iterate over all features to find best split - for k in range(d): - X_feat = self.feature[did, k] - x_uniq = np.unique(X_feat) - # Candidate split points: midpoints between unique sorted feature values - s_point = [(x_uniq[i-1] + x_uniq[i])/2 for i in range(1, len(x_uniq))] - - l_bound = -np.inf - for j in s_point: - # Split samples into left and right nodes - left = did[(X_feat > l_bound) & (X_feat <= j)] - right = did[X_feat > j] - - if len(left) == 0 or len(right) == 0: - continue - - # Calculate gradients and hessians for left and right - GL = -self.residual[left].sum() - HL = left.shape[0] - GR = G - GL - HR = H - HL - - # Calculate gain for this split - gain = (GL**2)/(HL + r) + (GR**2)/(HR + r) - p_score - - if gain > max_gain: - max_gain = gain - best_split = {"fid": k, "split_point": j, "left": left, "right": right} - - l_bound = j - - # Only split if gain exceeds pruning threshold - if max_gain >= self.prune_gamma: - return best_split - return np.nan # No valid split found - - # Recursively split tree nodes until maximum depth is reached - def recursive_split(self, node, curr_depth): - if curr_depth >= self.max_depth or not isinstance(node, dict): - return - - self.recursive_split(node.get("left"), curr_depth + 1) - self.recursive_split(node.get("right"), curr_depth + 1) - - # Calculate output value for a leaf node (regularized) - def output_value(self, did): - return np.sum(self.residual[did]) / (did.shape[0] + self.reg_lambda) - - # Assign output values to all leaf nodes in the tree - def output_leaf(self, d): - if isinstance(d, dict): - for key in ["left", "right"]: - val = d[key] - if isinstance(val, dict): - self.output_leaf(val) - else: - # Replace node indices with actual leaf value - d[key] = self.output_value(val) - - # Fit the regression tree to feature matrix X and residuals y - def fit(self, x, y): - self.feature = x - self.residual = y - self.base_score = y.mean() # Initial prediction (mean of residuals) - - # Build the tree from root - root = self.node_split(np.arange(x.shape[0])) - if isinstance(root, dict): - self.recursive_split(root, curr_depth=1) - self.estimator1 = root - self.estimator2 = copy.deepcopy(root) - self.output_leaf(self.estimator2) # Assign leaf values - - return self.estimator2 - - # Predict output for a single sample - def x_predict(self, p, x): - if x[p["fid"]] <= p["split_point"]: - if isinstance(p["left"], dict): - return self.x_predict(p["left"], x) - else: - return p["left"] - else: - if isinstance(p["right"], dict): - return self.x_predict(p["right"], x) - else: - return p["right"] - - # Predict outputs for multiple samples - def predict(self, x_test): - if self.estimator2 is None: - # If tree is empty, return base score - return np.array([self.base_score] * x_test.shape[0]) - # Traverse tree for each sample - return np.array([self.x_predict(self.estimator2, x) for x in x_test]) - #Built XGBoostRegressor -class MyXGBoostRegressor: - def __init__(self, n_estimators=10, max_depth=3, reg_lambda=1.0, prune_gamma=0.0, learning_rate=0.1): - self.n_estimators = n_estimators - self.max_depth = max_depth - self.reg_lambda = reg_lambda - self.prune_gamma = prune_gamma - self.learning_rate = learning_rate - self.trees = [] - self.base_score = None - - def fit(self, X, y): - n_samples = X.shape[0] - # Initial prediction: mean of y - self.base_score = y.mean() - y_pred = np.full(n_samples, self.base_score) - - for m in range(self.n_estimators): - # Compute residuals (negative gradient for squared error) - residuals = y - y_pred - tree = RegressionTree(max_depth=self.max_depth, reg_lambda=self.reg_lambda, prune_gamma=self.prune_gamma) - tree.fit(X, residuals) - # Predict residuals and update y_pred - update = tree.predict(X) 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zR2-9;X<%YzZf+Fgl3JWyl3x&0k)9OeoRe5woSBxHoLG{XpQjs8i6#;gTmqCSE&(dY x2}vz3iHVQT%*!l^kJl@xyv1RYo1apelWJGQ3bYF3m|_s)6Eh None: attributeTypes = 4 * [AttributeType.CONTINUOUS] dataDefinition = DataDefinition(attributeTypes) - self.iris = DataSet(dataDefinition, ",", "../../datasets/iris.data") + self.iris = DataSet(dataDefinition, ",", "datasets/iris.data") attributeTypes = 6 * [AttributeType.CONTINUOUS] dataDefinition = DataDefinition(attributeTypes) - self.bupa = DataSet(dataDefinition, ",", "../../datasets/bupa.data") + self.bupa = DataSet(dataDefinition, ",", "datasets/bupa.data") attributeTypes = 34 * [AttributeType.CONTINUOUS] dataDefinition = DataDefinition(attributeTypes) - self.dermatology = DataSet(dataDefinition, ",", "../../datasets/dermatology.data") + self.dermatology = DataSet(dataDefinition, ",", "datasets/dermatology.data") attributeTypes = 6 * [AttributeType.DISCRETE] dataDefinition = DataDefinition(attributeTypes) - self.car = DataSet(dataDefinition, ",", "../../datasets/car.data") + self.car = DataSet(dataDefinition, ",", "datasets/car.data") attributeTypes = 9 * [AttributeType.DISCRETE] dataDefinition = DataDefinition(attributeTypes) - self.tictactoe = DataSet(dataDefinition, ",", "../../datasets/tictactoe.data") + self.tictactoe = DataSet(dataDefinition, ",", "datasets/tictactoe.data") attributeTypes = 8 * [AttributeType.DISCRETE] dataDefinition = DataDefinition(attributeTypes) - self.nursery = DataSet(dataDefinition, ",", "../../datasets/nursery.data") + self.nursery = DataSet(dataDefinition, ",", "datasets/nursery.data") attributeTypes = [] for i in range(6): if i % 2 == 0: @@ -41,4 +41,4 @@ def setUp(self) -> None: else: attributeTypes.append(AttributeType.CONTINUOUS) dataDefinition = DataDefinition(attributeTypes) - self.chess = DataSet(dataDefinition, ",", "../../datasets/chess.data") + self.chess = DataSet(dataDefinition, ",", "datasets/chess.data") diff --git a/test/Classifier/XGBoostClassificationTest.py b/test/Classifier/XGBoostClassificationTest.py deleted file mode 100644 index c71869f..0000000 --- a/test/Classifier/XGBoostClassificationTest.py +++ /dev/null @@ -1,54 +0,0 @@ -import unittest -import numpy as np -from Classification.Model.XGBoost.XGBoostClassification import MyXGBoostClassifier -from sklearn.datasets import load_breast_cancer -from sklearn.model_selection import train_test_split - - -class TestXGBoostClassification(unittest.TestCase): - - @classmethod - def setUpClass(cls): - # Load data - data = load_breast_cancer() - X, y = data.data, data.target - - # Train / test split - cls.X_train, cls.X_test, cls.y_train, cls.y_test = train_test_split( - X, y, test_size=0.2, random_state=42 - ) - - # Train model (small + fast for unit tests) - cls.clf = MyXGBoostClassifier( - n_estimator=10, - max_depth=3, - learning_rate=0.1 - ) - cls.clf.fit(cls.X_train, cls.y_train) - - def test_model_created(self): - self.assertIsNotNone(self.clf) - - def test_predict_runs(self): - y_pred = self.clf.predict(self.X_test) - self.assertEqual(len(y_pred), len(self.y_test)) - - def test_predict_proba_runs(self): - - y_prob = self.clf.predict_proba(self.X_test) - - # Must return one probability per sample - self.assertEqual(len(y_prob), len(self.y_test)) - - # Probabilities must be between 0 and 1 - self.assertTrue((y_prob >= 0).all()) - self.assertTrue((y_prob <= 1).all()) - - - def test_prediction_values_valid(self): - y_pred = self.clf.predict(self.X_test) - self.assertTrue(np.all(np.isin(y_pred, [0, 1]))) - - -if __name__ == "__main__": - unittest.main() diff --git a/test/Classifier/XGBoostTest.py b/test/Classifier/XGBoostTest.py new file mode 100644 index 0000000..555e533 --- /dev/null +++ b/test/Classifier/XGBoostTest.py @@ -0,0 +1,62 @@ +import unittest + +from Classification.Model.XGBoost.XGBoost import XGBoostClassifier +from Classification.Model.XGBoost.XGBoost import XGBoostParameter +from test.Classifier.ClassifierTest import ClassifierTest + + +class XGBoostTest(ClassifierTest): + + def test_Train(self): + xgboost = XGBoostClassifier() + + xgboostParameter = XGBoostParameter( + seed=1, + n_estimators=50, + max_depth=4, + learning_rate=0.3 + ) + + # Iris + xgboost.train(self.iris.getInstanceList(), xgboostParameter) + self.assertAlmostEqual( + 0.0, + 100 * xgboost.test(self.iris.getInstanceList()).getErrorRate(), + 2 + ) + + # Bupa + xgboost.train(self.bupa.getInstanceList(), xgboostParameter) + self.assertAlmostEqual( + 0.0, + 100 * xgboost.test(self.bupa.getInstanceList()).getErrorRate(), + 2 + ) + + # Dermatology + xgboost.train(self.dermatology.getInstanceList(), xgboostParameter) + self.assertAlmostEqual( + 0.0, + 100 * xgboost.test(self.dermatology.getInstanceList()).getErrorRate(), + 2 + ) + + # Car + xgboost.train(self.car.getInstanceList(), xgboostParameter) + self.assertAlmostEqual( + 0.0, + 100 * xgboost.test(self.car.getInstanceList()).getErrorRate(), + 2 + ) + + # TicTacToe + xgboost.train(self.tictactoe.getInstanceList(), xgboostParameter) + self.assertAlmostEqual( + 0.0, + 100 * xgboost.test(self.tictactoe.getInstanceList()).getErrorRate(), + 2 + ) + + +if __name__ == '__main__': + unittest.main() diff --git a/test/Classifier/XGboostRegression.py b/test/Classifier/XGboostRegression.py deleted file mode 100644 index d2f505d..0000000 --- a/test/Classifier/XGboostRegression.py +++ /dev/null @@ -1,46 +0,0 @@ -import unittest -import numpy as np -from Classification.Model.XGBoost.XGBoostRegression import MyXGBoostRegressor -from sklearn.datasets import fetch_california_housing -from sklearn.model_selection import train_test_split - - -class TestXGBoostRegression(unittest.TestCase): - - @classmethod - def setUpClass(cls): - # Load dataset - data = fetch_california_housing() - X, y = data.data, data.target - - # Train / test split - cls.X_train, cls.X_test, cls.y_train, cls.y_test = train_test_split( - X, y, test_size=0.2, random_state=42 - ) - - # Train model 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3/8] Added XGBoostTree XGBoostParameter XGBoostModel XGBoostNode --- .../Model/DecisionTree/XGBoostNode.py | 301 +++++++ .../Model/DecisionTree/XGBoostTree.py | 42 + .../__pycache__/XGBoostNode.cpython-314.pyc | Bin 0 -> 14032 bytes .../__pycache__/XGBoostTree.cpython-314.pyc | Bin 0 -> 2679 bytes Classification/Model/Ensemble/XGBoostModel.py | 333 ++++++++ .../__pycache__/XGBoostModel.cpython-314.pyc | Bin 0 -> 17894 bytes Classification/Model/XGBoost/XGBoost.py | 755 ------------------ .../__pycache__/XGBoost.cpython-314.pyc | Bin 39645 -> 39627 bytes Classification/Parameter/XGBoostParameter.py | 103 +++ .../XGBoostParameter.cpython-314.pyc | Bin 0 -> 7049 bytes Vector.py | 4 - test/Classifier/XGBoostTest.py | 8 +- .../__pycache__/XGBoostTest.cpython-314.pyc | Bin 2843 -> 2886 bytes test/debug.py | 33 - 14 files changed, 783 insertions(+), 796 deletions(-) create mode 100644 Classification/Model/DecisionTree/XGBoostNode.py create mode 100644 Classification/Model/DecisionTree/XGBoostTree.py create mode 100644 Classification/Model/DecisionTree/__pycache__/XGBoostNode.cpython-314.pyc create mode 100644 Classification/Model/DecisionTree/__pycache__/XGBoostTree.cpython-314.pyc create mode 100644 Classification/Model/Ensemble/XGBoostModel.py create mode 100644 Classification/Model/Ensemble/__pycache__/XGBoostModel.cpython-314.pyc delete mode 100644 Classification/Model/XGBoost/XGBoost.py create mode 100644 Classification/Parameter/XGBoostParameter.py create mode 100644 Classification/Parameter/__pycache__/XGBoostParameter.cpython-314.pyc delete mode 100644 Vector.py delete mode 100644 test/debug.py diff --git a/Classification/Model/DecisionTree/XGBoostNode.py b/Classification/Model/DecisionTree/XGBoostNode.py new file mode 100644 index 0000000..795f66e --- /dev/null +++ b/Classification/Model/DecisionTree/XGBoostNode.py @@ -0,0 +1,301 @@ +""" +XGBoost Decision Node +""" + +from typing import List, Optional +from Classification.Instance.Instance import Instance +from Classification.InstanceList.InstanceList import InstanceList +from Classification.Model.DecisionTree.DecisionNode import DecisionNode +from Classification.Parameter.XGBoostParameter import XGBoostParameter + + +class XGBoostNode(DecisionNode): + """ + Extended DecisionNode for XGBoost that supports gradient-based splits. + Implements XGBoost-specific splitting logic with proper regularization. + """ + + EPSILON = 1e-10 # For numerical stability + + def __init__(self, data: InstanceList, + gradients: List[float], + hessians: List[float], + instance_indices: List[int], + condition=None, + parameter: XGBoostParameter = None, + depth: int = 0, + feature_subset: Optional[List[int]] = None): + """ + Initialize XGBoost decision node with gradient and hessian information. + """ + self.__gradients = gradients + self.__hessians = hessians + self.__instance_indices = instance_indices + self.__parameter = parameter + self.__depth = depth + self.__leaf_value = 0.0 + self.__feature_subset = feature_subset + + # Calculate leaf weight using gradient boosting formula + sum_gradients = sum(gradients[i] for i in instance_indices) + sum_hessians = sum(hessians[i] for i in instance_indices) + + if parameter is not None: + reg_lambda = parameter.getRegLambda() + reg_alpha = parameter.getRegAlpha() + else: + reg_lambda = 1.0 + reg_alpha = 0.0 + + # Leaf weight formula with L1 regularization: -G / (H + lambda) + if sum_hessians + reg_lambda > self.EPSILON: + if reg_alpha > self.EPSILON: + # Apply L1 regularization (soft thresholding) + if sum_gradients > reg_alpha: + self.__leaf_value = -(sum_gradients - reg_alpha) / (sum_hessians + reg_lambda) + elif sum_gradients < -reg_alpha: + self.__leaf_value = -(sum_gradients + reg_alpha) / (sum_hessians + reg_lambda) + else: + self.__leaf_value = 0.0 + else: + # No regularization - use pure gradient boosting formula + denominator = sum_hessians + reg_lambda if reg_lambda > 0 else sum_hessians + self.__leaf_value = -sum_gradients / max(denominator, 1e-10) + + # Initialize parent class attributes + self.leaf = True + self.children = [] + self._DecisionNode__condition = condition + self._DecisionNode__class_label = None + + # Store class distribution for compatibility + from Math.DiscreteDistribution import DiscreteDistribution + self._DecisionNode__classLabelsDistribution = DiscreteDistribution() + + # Get labels only for instances in this node + node_data = InstanceList() + for idx in instance_indices: + node_data.add(data.get(idx)) + + labels = node_data.getClassLabels() + for label in labels: + self._DecisionNode__classLabelsDistribution.addItem(label) + self._DecisionNode__class_label = InstanceList.getMaximum(labels) if labels else None + + # Check stopping criteria + if depth >= (parameter.getMaxDepth() if parameter else 6): + return + + if len(node_data.getDistinctClassLabels()) == 1: + return + + # Only check min_child_weight if it's positive + min_weight = parameter.getMinChildWeight() if parameter else 0.0 + if min_weight > 0 and sum_hessians < min_weight: + return + + if len(instance_indices) < 2: + return + + # Find best split using XGBoost gain calculation + self.__findBestSplit(data, gradients, hessians, instance_indices, parameter) + + def __findBestSplit(self, data: InstanceList, + gradients: List[float], + hessians: List[float], + instance_indices: List[int], + parameter: XGBoostParameter) -> None: + """ + Find the best split using XGBoost's gain formula. + """ + from Classification.Attribute.ContinuousAttribute import ContinuousAttribute + from Classification.Attribute.DiscreteAttribute import DiscreteAttribute + from Classification.Model.DecisionTree.DecisionCondition import DecisionCondition + + best_gain = 0.0 + best_attribute = -1 + best_split_value = 0.0 + best_split_type = None + best_left_indices = [] + best_right_indices = [] + + reg_lambda = parameter.getRegLambda() if parameter else 1.0 + gamma = parameter.getGamma() if parameter else 0.0 + min_child_weight = parameter.getMinChildWeight() if parameter else 1.0 + + sum_gradients = sum(gradients[i] for i in instance_indices) + sum_hessians = sum(hessians[i] for i in instance_indices) + + # Determine which features to consider + if self.__feature_subset is not None: + features_to_try = self.__feature_subset + else: + features_to_try = range(data.get(0).attributeSize()) + + # Try each attribute + for attr_idx in features_to_try: + attribute = data.get(instance_indices[0]).getAttribute(attr_idx) + + if isinstance(attribute, ContinuousAttribute): + # Sort instances by attribute value + sorted_indices = sorted(instance_indices, + key=lambda i: data.get(i).getAttribute(attr_idx).getValue()) + + left_gradient = 0.0 + left_hessian = 0.0 + + for i in range(len(sorted_indices) - 1): + idx = sorted_indices[i] + left_gradient += gradients[idx] + left_hessian += hessians[idx] + + current_value = data.get(idx).getAttribute(attr_idx).getValue() + next_value = data.get(sorted_indices[i + 1]).getAttribute(attr_idx).getValue() + + # Skip if values are identical + if abs(current_value - next_value) < self.EPSILON: + continue + + right_gradient = sum_gradients - left_gradient + right_hessian = sum_hessians - left_hessian + + # Check minimum child weight constraint (only if positive) + if min_child_weight > 0: + if left_hessian < min_child_weight or right_hessian < min_child_weight: + continue + + # Calculate gain with numerical stability + reg_term = reg_lambda if reg_lambda > 0 else 0 + gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) + gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) + gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) + + gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma + + if gain > best_gain: + best_gain = gain + best_attribute = attr_idx + best_split_value = (current_value + next_value) / 2.0 + best_split_type = 'continuous' + best_left_indices = sorted_indices[:i+1] + best_right_indices = sorted_indices[i+1:] + + elif isinstance(attribute, DiscreteAttribute): + # Get unique values for this attribute among instances in this node + value_set = set() + for idx in instance_indices: + value_set.add(data.get(idx).getAttribute(attr_idx).getValue()) + + value_list = list(value_set) + + # Try splitting on each value + for value in value_list: + left_gradient = 0.0 + left_hessian = 0.0 + left_indices = [] + right_indices = [] + + for idx in instance_indices: + if data.get(idx).getAttribute(attr_idx).getValue() == value: + left_gradient += gradients[idx] + left_hessian += hessians[idx] + left_indices.append(idx) + else: + right_indices.append(idx) + + right_gradient = sum_gradients - left_gradient + right_hessian = sum_hessians - left_hessian + + # Check minimum child weight constraint (only if positive) + if min_child_weight > 0: + if left_hessian < min_child_weight or right_hessian < min_child_weight: + continue + + # Calculate gain + reg_term = reg_lambda if reg_lambda > 0 else 0 + gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) + gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) + gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) + + gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma + + if gain > best_gain: + best_gain = gain + best_attribute = attr_idx + best_split_value = value + best_split_type = 'discrete' + best_left_indices = left_indices + best_right_indices = right_indices + + # Create children if a beneficial split was found + if best_attribute != -1 and best_gain > self.EPSILON: + self.leaf = False + + if best_split_type == 'continuous': + self.children.append( + XGBoostNode(data, gradients, hessians, best_left_indices, + DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), "<"), + parameter, self.__depth + 1, self.__feature_subset)) + self.children.append( + XGBoostNode(data, gradients, hessians, best_right_indices, + DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), ">="), + parameter, self.__depth + 1, self.__feature_subset)) + + elif best_split_type == 'discrete': + # For discrete attributes, first child gets instances with the value + # Second child gets instances without the value + # Note: We store both sets of indices since DecisionCondition != may not work correctly + left_child = XGBoostNode(data, gradients, hessians, best_left_indices, + DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), + parameter, self.__depth + 1, self.__feature_subset) + left_child._XGBoostNode__is_discrete_left = True + left_child._XGBoostNode__discrete_indices = set(best_left_indices) + + right_child = XGBoostNode(data, gradients, hessians, best_right_indices, + DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), + parameter, self.__depth + 1, self.__feature_subset) + right_child._XGBoostNode__is_discrete_left = False + right_child._XGBoostNode__discrete_indices = set(best_right_indices) + + self.children.append(left_child) + self.children.append(right_child) + + def predictLeafValue(self, instance: Instance) -> float: + """ + Predict the leaf value (weight) for the given instance. + """ + if self.leaf: + return self.__leaf_value + else: + # For discrete splits, we need special handling since != doesn't work + # Check if any child has discrete split markers + has_discrete = any(hasattr(child, '_XGBoostNode__is_discrete_left') for child in self.children) + + if has_discrete and len(self.children) == 2: + # This is a discrete split - check which child matches + left_child = self.children[0] + right_child = self.children[1] + + # Get the attribute index from condition + if left_child._DecisionNode__condition: + attr_idx = left_child._DecisionNode__condition._DecisionCondition__attribute_index + split_value = left_child._DecisionNode__condition._DecisionCondition__value.getValue() + instance_value = instance.getAttribute(attr_idx).getValue() + + # If instance value matches split value, go left; otherwise go right + if instance_value == split_value: + return left_child.predictLeafValue(instance) + else: + return right_child.predictLeafValue(instance) + + # Normal continuous split or fallback + for node in self.children: + if node._DecisionNode__condition.satisfy(instance): + return node.predictLeafValue(instance) + + # Fallback: if no condition matched, use first child + if len(self.children) > 0: + return self.children[0].predictLeafValue(instance) + + # Ultimate fallback + return self.__leaf_value \ No newline at end of file diff --git a/Classification/Model/DecisionTree/XGBoostTree.py b/Classification/Model/DecisionTree/XGBoostTree.py new file mode 100644 index 0000000..a582dee --- /dev/null +++ b/Classification/Model/DecisionTree/XGBoostTree.py @@ -0,0 +1,42 @@ +""" +XGBoost Decision Tree +""" + +import random +from typing import List +from Classification.Instance.Instance import Instance +from Classification.InstanceList.InstanceList import InstanceList +from Classification.Model.DecisionTree.DecisionTree import DecisionTree +from Classification.Model.DecisionTree.XGBoostNode import XGBoostNode +from Classification.Parameter.XGBoostParameter import XGBoostParameter + + +class XGBoostTree(DecisionTree): + """ + Single tree in the XGBoost ensemble. + """ + + def __init__(self, data: InstanceList, + gradients: List[float], + hessians: List[float], + instance_indices: List[int], + parameter: XGBoostParameter): + """ + Initialize XGBoost tree with gradient information. + """ + # Determine feature subset for this tree (colsample_bytree) + feature_subset = None + if parameter and parameter.getColsampleByTree() < 1.0: + n_features = data.get(0).attributeSize() + n_sample = max(1, int(n_features * parameter.getColsampleByTree())) + feature_subset = random.sample(range(n_features), n_sample) + + root = XGBoostNode(data, gradients, hessians, instance_indices, + None, parameter, 0, feature_subset) + self._DecisionTree__root = root + + def predictValue(self, instance: Instance) -> float: + """ + Predict the raw value for gradient boosting. + """ + return self._DecisionTree__root.predictLeafValue(instance) \ No newline at end of file diff --git a/Classification/Model/DecisionTree/__pycache__/XGBoostNode.cpython-314.pyc b/Classification/Model/DecisionTree/__pycache__/XGBoostNode.cpython-314.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3db9f86bc996d438025533b81dc854dd0ede8764 GIT binary patch literal 14032 zcmeG@TToj^miOv~ULaw>5=cf5#6!Gounji0!8`&s!m=QjJTUS#$e>t=JNJsjc4cO% znXOu;Dz&53&Q|awQ^qr!4X&NkGPOH9?Chk*pZ=60$&zp48m7iosr=!^lT2zqc2D=! z)yuMz-6Z?5wO!D+AE!@upFZ7v&gr9;vQjkxVd-VB|8_4y{1IiuAWtXuE<$3J@DL$l zmhg~cj+b z(g7#QE60Ldhz`#AAgvYC2nyxJ_NY1J^=Z6rnx&U~As;)Jo*Dk6he7OJf-DUay+DLW 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+ Apply sigmoid function with numerical stability. + """ + if x > 20: + return 1.0 + if x < -20: + return 0.0 + return 1.0 / (1.0 + exp(-x)) + + def __softmax(self, scores: List[float]) -> List[float]: + """ + Apply softmax function with numerical stability. + """ + max_score = max(scores) + exp_scores = [exp(s - max_score) for s in scores] + sum_exp = sum(exp_scores) + return [e / sum_exp for e in exp_scores] + + def train(self, trainSet: InstanceList, parameters: XGBoostParameter, + validationSet: Optional[InstanceList] = None) -> None: + """ + Train the XGBoost classifier. + """ + self.__parameter = parameters + self.__class_labels = trainSet.getDistinctClassLabels() + self.__n_classes = len(self.__class_labels) + self.__training_history = [] + self.__trees = [] # Initialize/reset trees + + # Set random seed for reproducibility + random.seed(parameters.getSeed()) + + if self.__n_classes == 2: + # Binary classification + self.__trainBinary(trainSet, parameters, validationSet) + else: + # Multiclass classification + self.__trainMulticlass(trainSet, parameters, validationSet) + + def __trainBinary(self, trainSet: InstanceList, + parameters: XGBoostParameter, + validationSet: Optional[InstanceList] = None) -> None: + """ + Train for binary classification. + """ + n_samples = trainSet.size() + + # Initialize with log odds + positive_count = sum(1 for i in range(n_samples) + if trainSet.get(i).getClassLabel() == self.__class_labels[1]) + + if positive_count == 0: + self.__base_score = -5.0 + elif positive_count == n_samples: + self.__base_score = 5.0 + else: + self.__base_score = log(positive_count / (n_samples - positive_count)) + + predictions = [self.__base_score] * n_samples + + # Early stopping variables + best_val_error = float('inf') + rounds_without_improvement = 0 + best_n_trees = 0 + + # Boosting iterations + for iteration in range(parameters.getNEstimators()): + # Sample instances + if parameters.getSubsample() < 1.0: + n_subsample = max(1, int(n_samples * parameters.getSubsample())) + sample_indices = random.sample(range(n_samples), n_subsample) + else: + sample_indices = list(range(n_samples)) + + # Calculate gradients and hessians + gradients = [0.0] * n_samples + hessians = [0.0] * n_samples + + for i in range(n_samples): + pred_prob = self.__sigmoid(predictions[i]) + true_label = 1.0 if trainSet.get(i).getClassLabel() == self.__class_labels[1] else 0.0 + + gradients[i] = pred_prob - true_label + hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) + + # Build tree + tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) + self.__trees.append(tree) + + # Update predictions + learning_rate = parameters.getLearningRate() + for i in range(n_samples): + predictions[i] += learning_rate * tree.predictValue(trainSet.get(i)) + + # Early stopping check + if validationSet is not None: + val_error = self.__calculateError(validationSet) + self.__training_history.append({ + 'iteration': iteration, + 'validation_error': val_error + }) + + if val_error < best_val_error: + best_val_error = val_error + best_n_trees = iteration + 1 + rounds_without_improvement = 0 + else: + rounds_without_improvement += 1 + + if rounds_without_improvement >= parameters.getEarlyStoppingRounds(): + self.__trees = self.__trees[:best_n_trees] + break + + def __trainMulticlass(self, trainSet: InstanceList, + parameters: XGBoostParameter, + validationSet: Optional[InstanceList] = None) -> None: + """ + Train for multiclass classification. + """ + n_samples = trainSet.size() + + # Initialize predictions for each class + predictions = [[0.0 for _ in range(n_samples)] for _ in range(self.__n_classes)] + + # Initialize trees as list of lists + self.__trees = [[] for _ in range(self.__n_classes)] + + # Early stopping variables + best_val_error = float('inf') + rounds_without_improvement = 0 + best_n_trees = 0 + + for iteration in range(parameters.getNEstimators()): + # Sample instances + if parameters.getSubsample() < 1.0: + n_subsample = max(1, int(n_samples * parameters.getSubsample())) + sample_indices = random.sample(range(n_samples), n_subsample) + else: + sample_indices = list(range(n_samples)) + + for class_idx in range(self.__n_classes): + target_class = self.__class_labels[class_idx] + + # Calculate gradients and hessians + gradients = [0.0] * n_samples + hessians = [0.0] * n_samples + + for i in range(n_samples): + scores = [predictions[c][i] for c in range(self.__n_classes)] + probs = self.__softmax(scores) + + true_label = 1.0 if trainSet.get(i).getClassLabel() == target_class else 0.0 + pred_prob = probs[class_idx] + + gradients[i] = pred_prob - true_label + hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) + + # Build tree + tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) + self.__trees[class_idx].append(tree) + + # Update predictions + learning_rate = parameters.getLearningRate() + for i in range(n_samples): + predictions[class_idx][i] += learning_rate * tree.predictValue(trainSet.get(i)) + + # Early stopping check + if validationSet is not None: + val_error = self.__calculateError(validationSet) + self.__training_history.append({ + 'iteration': iteration, + 'validation_error': val_error + }) + + if val_error < best_val_error: + best_val_error = val_error + best_n_trees = iteration + 1 + rounds_without_improvement = 0 + else: + rounds_without_improvement += 1 + + if rounds_without_improvement >= parameters.getEarlyStoppingRounds(): + for class_idx in range(self.__n_classes): + self.__trees[class_idx] = self.__trees[class_idx][:best_n_trees] + break + + def __calculateError(self, testSet: InstanceList) -> float: + """ + Calculate classification error. + """ + n_errors = 0 + for i in range(testSet.size()): + instance = testSet.get(i) + predicted = self.predict(instance) + if predicted != instance.getClassLabel(): + n_errors += 1 + return n_errors / testSet.size() if testSet.size() > 0 else 0.0 + + def predict(self, instance: Instance) -> str: + """ + Predict class label. + """ + # Check if multiclass (list of lists) or binary (flat list) + if self.__trees and isinstance(self.__trees[0], list): + # Multiclass + scores = [0.0] * self.__n_classes + learning_rate = self.__parameter.getLearningRate() + + for class_idx in range(self.__n_classes): + for tree in self.__trees[class_idx]: + scores[class_idx] += learning_rate * tree.predictValue(instance) + + max_idx = scores.index(max(scores)) + return self.__class_labels[max_idx] + else: + # Binary + score = self.__base_score + learning_rate = self.__parameter.getLearningRate() + + for tree in self.__trees: + score += learning_rate * tree.predictValue(instance) + + prob = self.__sigmoid(score) + return self.__class_labels[1] if prob >= 0.5 else self.__class_labels[0] + + def predictProbability(self, instance: Instance) -> Dict[str, float]: + """ + Predict probability distribution. + """ + if self.__trees and isinstance(self.__trees[0], list): + # Multiclass + scores = [0.0] * self.__n_classes + learning_rate = self.__parameter.getLearningRate() + + for class_idx in range(self.__n_classes): + for tree in self.__trees[class_idx]: + scores[class_idx] += learning_rate * tree.predictValue(instance) + + probs = self.__softmax(scores) + return {self.__class_labels[i]: probs[i] for i in range(self.__n_classes)} + else: + # Binary + score = self.__base_score + learning_rate = self.__parameter.getLearningRate() + + for tree in self.__trees: + score += learning_rate * tree.predictValue(instance) + + prob_positive = self.__sigmoid(score) + return { + self.__class_labels[0]: 1.0 - prob_positive, + self.__class_labels[1]: prob_positive + } + + def getTrainingHistory(self) -> List[Dict]: + """ + Get training history. + """ + return self.__training_history + + def getFeatureImportance(self) -> Dict[int, float]: + """ + Get feature importance scores. + """ + return self.__feature_importance + + def loadModel(self, fileName: str) -> None: + """ + Load model from file. + """ + import pickle + try: + with open(fileName, 'rb') as f: + model_data = pickle.load(f) + self.__trees = model_data['trees'] + self.__class_labels = model_data['class_labels'] + self.__n_classes = model_data['n_classes'] + self.__base_score = model_data['base_score'] + self.__parameter = model_data['parameter'] + except Exception as e: + raise IOError(f"Failed to load model from {fileName}: {str(e)}") + + def saveModel(self, fileName: str) -> None: + """ + Save model to file. + """ + import pickle + try: + model_data = { + 'trees': self.__trees, + 'class_labels': self.__class_labels, + 'n_classes': self.__n_classes, + 'base_score': self.__base_score, + 'parameter': self.__parameter + } + with open(fileName, 'wb') as f: + pickle.dump(model_data, f) + except Exception as e: + raise IOError(f"Failed to save model to {fileName}: {str(e)}") \ No newline at end of file diff --git a/Classification/Model/Ensemble/__pycache__/XGBoostModel.cpython-314.pyc 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optimizations, and additional features. -""" - -from math import log, exp -import random -from typing import List, Dict, Optional, Tuple -from Classification.Instance.Instance import Instance -from Classification.InstanceList.InstanceList import InstanceList -from Classification.Model.DecisionTree.DecisionTree import DecisionTree -from Classification.Model.DecisionTree.DecisionNode import DecisionNode -from Classification.Model.ValidatedModel import ValidatedModel -from Classification.Parameter.Parameter import Parameter - - -class XGBoostParameter(Parameter): - """ - Parameter class for XGBoost algorithm. - - Attributes: - __learning_rate: Step size shrinkage to prevent overfitting (0 < eta <= 1) - __n_estimators: Number of boosting rounds (trees) - __max_depth: Maximum depth of trees - __min_child_weight: Minimum sum of instance weight needed in a child - __gamma: Minimum loss reduction required for split - __subsample: Subsample ratio of training instances (0 < ratio <= 1) - __colsample_bytree: Subsample ratio of columns when constructing each tree - __reg_lambda: L2 regularization term on weights - __reg_alpha: L1 regularization term on weights - __early_stopping_rounds: Stop if no improvement for N rounds - """ - - def __init__(self, seed: int, - learning_rate: float = 0.3, - n_estimators: int = 100, - max_depth: int = 6, - min_child_weight: float = 0.0, - gamma: float = 0.0, - subsample: float = 1.0, - colsample_bytree: float = 1.0, - reg_lambda: float = 0.0, - reg_alpha: float = 0.0, - early_stopping_rounds: int = 10): - """ - Initialize XGBoost parameters with validation. - - Raises: - ValueError: If parameters are out of valid ranges - """ - super().__init__(seed) - - # Validate parameters - if not 0 < learning_rate <= 1: - raise ValueError("learning_rate must be in (0, 1]") - if n_estimators < 1: - raise ValueError("n_estimators must be at least 1") - if max_depth < 1: - raise ValueError("max_depth must be at least 1") - if min_child_weight < 0: - raise ValueError("min_child_weight must be non-negative") - if gamma < 0: - raise ValueError("gamma must be non-negative") - if not 0 < subsample <= 1: - raise ValueError("subsample must be in (0, 1]") - if not 0 < colsample_bytree <= 1: - raise ValueError("colsample_bytree must be in (0, 1]") - if reg_lambda < 0: - raise ValueError("reg_lambda must be non-negative") - if reg_alpha < 0: - raise ValueError("reg_alpha must be non-negative") - - self.__learning_rate = learning_rate - self.__n_estimators = n_estimators - self.__max_depth = max_depth - self.__min_child_weight = min_child_weight - self.__gamma = gamma - self.__subsample = subsample - self.__colsample_bytree = colsample_bytree - self.__reg_lambda = reg_lambda - self.__reg_alpha = reg_alpha - self.__early_stopping_rounds = early_stopping_rounds - - def getLearningRate(self) -> float: - return self.__learning_rate - - def getNEstimators(self) -> int: - return self.__n_estimators - - def getMaxDepth(self) -> int: - return self.__max_depth - - def getMinChildWeight(self) -> float: - return self.__min_child_weight - - def getGamma(self) -> float: - return self.__gamma - - def getSubsample(self) -> float: - return self.__subsample - - def getColsampleByTree(self) -> float: - return self.__colsample_bytree - - def getRegLambda(self) -> float: - return self.__reg_lambda - - def getRegAlpha(self) -> float: - return self.__reg_alpha - - def getEarlyStoppingRounds(self) -> int: - return self.__early_stopping_rounds - - -class XGBoostNode(DecisionNode): - """ - Extended DecisionNode for XGBoost that supports gradient-based splits. - Implements XGBoost-specific splitting logic with proper regularization. - """ - - EPSILON = 1e-10 # For numerical stability - - def __init__(self, data: InstanceList, - gradients: List[float], - hessians: List[float], - instance_indices: List[int], - condition=None, - parameter: XGBoostParameter = None, - depth: int = 0, - feature_subset: Optional[List[int]] = None): - """ - Initialize XGBoost decision node with gradient and hessian information. - """ - self.__gradients = gradients - self.__hessians = hessians - self.__instance_indices = instance_indices - self.__parameter = parameter - self.__depth = depth - self.__leaf_value = 0.0 - self.__feature_subset = feature_subset - - # Calculate leaf weight using gradient boosting formula - sum_gradients = sum(gradients[i] for i in instance_indices) - sum_hessians = sum(hessians[i] for i in instance_indices) - - if parameter is not None: - reg_lambda = parameter.getRegLambda() - reg_alpha = parameter.getRegAlpha() - else: - reg_lambda = 1.0 - reg_alpha = 0.0 - - # Leaf weight formula with L1 regularization: -G / (H + lambda) - if sum_hessians + reg_lambda > self.EPSILON: - if reg_alpha > self.EPSILON: - # Apply L1 regularization (soft thresholding) - if sum_gradients > reg_alpha: - self.__leaf_value = -(sum_gradients - reg_alpha) / (sum_hessians + reg_lambda) - elif sum_gradients < -reg_alpha: - self.__leaf_value = -(sum_gradients + reg_alpha) / (sum_hessians + reg_lambda) - else: - self.__leaf_value = 0.0 - else: - # No regularization - use pure gradient boosting formula - denominator = sum_hessians + reg_lambda if reg_lambda > 0 else sum_hessians - self.__leaf_value = -sum_gradients / max(denominator, 1e-10) - - # Initialize parent class attributes - self.leaf = True - self.children = [] - self._DecisionNode__condition = condition - self._DecisionNode__class_label = None - - # Store class distribution for compatibility - from Math.DiscreteDistribution import DiscreteDistribution - self._DecisionNode__classLabelsDistribution = DiscreteDistribution() - - # Get labels only for instances in this node - node_data = InstanceList() - for idx in instance_indices: - node_data.add(data.get(idx)) - - labels = node_data.getClassLabels() - for label in labels: - self._DecisionNode__classLabelsDistribution.addItem(label) - self._DecisionNode__class_label = InstanceList.getMaximum(labels) if labels else None - - # Check stopping criteria - if depth >= (parameter.getMaxDepth() if parameter else 6): - return - - if len(node_data.getDistinctClassLabels()) == 1: - return - - # Only check min_child_weight if it's positive - min_weight = parameter.getMinChildWeight() if parameter else 0.0 - if min_weight > 0 and sum_hessians < min_weight: - return - - if len(instance_indices) < 2: - return - - # Find best split using XGBoost gain calculation - self.__findBestSplit(data, gradients, hessians, instance_indices, parameter) - - def __findBestSplit(self, data: InstanceList, - gradients: List[float], - hessians: List[float], - instance_indices: List[int], - parameter: XGBoostParameter) -> None: - """ - Find the best split using XGBoost's gain formula. - """ - from Classification.Attribute.ContinuousAttribute import ContinuousAttribute - from Classification.Attribute.DiscreteAttribute import DiscreteAttribute - from Classification.Model.DecisionTree.DecisionCondition import DecisionCondition - - best_gain = 0.0 - best_attribute = -1 - best_split_value = 0.0 - best_split_type = None - best_left_indices = [] - best_right_indices = [] - - reg_lambda = parameter.getRegLambda() if parameter else 1.0 - gamma = parameter.getGamma() if parameter else 0.0 - min_child_weight = parameter.getMinChildWeight() if parameter else 1.0 - - sum_gradients = sum(gradients[i] for i in instance_indices) - sum_hessians = sum(hessians[i] for i in instance_indices) - - # Determine which features to consider - if self.__feature_subset is not None: - features_to_try = self.__feature_subset - else: - features_to_try = range(data.get(0).attributeSize()) - - # Try each attribute - for attr_idx in features_to_try: - attribute = data.get(instance_indices[0]).getAttribute(attr_idx) - - if isinstance(attribute, ContinuousAttribute): - # Sort instances by attribute value - sorted_indices = sorted(instance_indices, - key=lambda i: data.get(i).getAttribute(attr_idx).getValue()) - - left_gradient = 0.0 - left_hessian = 0.0 - - for i in range(len(sorted_indices) - 1): - idx = sorted_indices[i] - left_gradient += gradients[idx] - left_hessian += hessians[idx] - - current_value = data.get(idx).getAttribute(attr_idx).getValue() - next_value = data.get(sorted_indices[i + 1]).getAttribute(attr_idx).getValue() - - # Skip if values are identical - if abs(current_value - next_value) < self.EPSILON: - continue - - right_gradient = sum_gradients - left_gradient - right_hessian = sum_hessians - left_hessian - - # Check minimum child weight constraint (only if positive) - if min_child_weight > 0: - if left_hessian < min_child_weight or right_hessian < min_child_weight: - continue - - # Calculate gain with numerical stability - reg_term = reg_lambda if reg_lambda > 0 else 0 - gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) - gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) - gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) - - gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma - - if gain > best_gain: - best_gain = gain - best_attribute = attr_idx - best_split_value = (current_value + next_value) / 2.0 - best_split_type = 'continuous' - best_left_indices = sorted_indices[:i+1] - best_right_indices = sorted_indices[i+1:] - - elif isinstance(attribute, DiscreteAttribute): - # Get unique values for this attribute among instances in this node - value_set = set() - for idx in instance_indices: - value_set.add(data.get(idx).getAttribute(attr_idx).getValue()) - - value_list = list(value_set) - - # Try splitting on each value - for value in value_list: - left_gradient = 0.0 - left_hessian = 0.0 - left_indices = [] - right_indices = [] - - for idx in instance_indices: - if data.get(idx).getAttribute(attr_idx).getValue() == value: - left_gradient += gradients[idx] - left_hessian += hessians[idx] - left_indices.append(idx) - else: - right_indices.append(idx) - - right_gradient = sum_gradients - left_gradient - right_hessian = sum_hessians - left_hessian - - # Check minimum child weight constraint (only if positive) - if min_child_weight > 0: - if left_hessian < min_child_weight or right_hessian < min_child_weight: - continue - - # Calculate gain - reg_term = reg_lambda if reg_lambda > 0 else 0 - gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) - gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) - gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) - - gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma - - if gain > best_gain: - best_gain = gain - best_attribute = attr_idx - best_split_value = value - best_split_type = 'discrete' - best_left_indices = left_indices - best_right_indices = right_indices - - # Create children if a beneficial split was found - if best_attribute != -1 and best_gain > self.EPSILON: - self.leaf = False - - if best_split_type == 'continuous': - self.children.append( - XGBoostNode(data, gradients, hessians, best_left_indices, - DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), "<"), - parameter, self.__depth + 1, self.__feature_subset)) - self.children.append( - XGBoostNode(data, gradients, hessians, best_right_indices, - DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), ">="), - parameter, self.__depth + 1, self.__feature_subset)) - - elif best_split_type == 'discrete': - # For discrete attributes, first child gets instances with the value - # Second child gets instances without the value - # Note: We store both sets of indices since DecisionCondition != may not work correctly - left_child = XGBoostNode(data, gradients, hessians, best_left_indices, - DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), - parameter, self.__depth + 1, self.__feature_subset) - left_child._XGBoostNode__is_discrete_left = True - left_child._XGBoostNode__discrete_indices = set(best_left_indices) - - right_child = XGBoostNode(data, gradients, hessians, best_right_indices, - DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), - parameter, self.__depth + 1, self.__feature_subset) - right_child._XGBoostNode__is_discrete_left = False - right_child._XGBoostNode__discrete_indices = set(best_right_indices) - - self.children.append(left_child) - self.children.append(right_child) - - def predictLeafValue(self, instance: Instance) -> float: - """ - Predict the leaf value (weight) for the given instance. - """ - if self.leaf: - return self.__leaf_value - else: - # For discrete splits, we need special handling since != doesn't work - # Check if any child has discrete split markers - has_discrete = any(hasattr(child, '_XGBoostNode__is_discrete_left') for child in self.children) - - if has_discrete and len(self.children) == 2: - # This is a discrete split - check which child matches - left_child = self.children[0] - right_child = self.children[1] - - # Get the attribute index from condition - if left_child._DecisionNode__condition: - attr_idx = left_child._DecisionNode__condition._DecisionCondition__attribute_index - split_value = left_child._DecisionNode__condition._DecisionCondition__value.getValue() - instance_value = instance.getAttribute(attr_idx).getValue() - - # If instance value matches split value, go left; otherwise go right - if instance_value == split_value: - return left_child.predictLeafValue(instance) - else: - return right_child.predictLeafValue(instance) - - # Normal continuous split or fallback - for node in self.children: - if node._DecisionNode__condition.satisfy(instance): - return node.predictLeafValue(instance) - - # Fallback: if no condition matched, use first child - if len(self.children) > 0: - return self.children[0].predictLeafValue(instance) - - # Ultimate fallback - return self.__leaf_value - - -class XGBoostTree(DecisionTree): - """ - Single tree in the XGBoost ensemble. - """ - - def __init__(self, data: InstanceList, - gradients: List[float], - hessians: List[float], - instance_indices: List[int], - parameter: XGBoostParameter): - """ - Initialize XGBoost tree with gradient information. - """ - # Determine feature subset for this tree (colsample_bytree) - feature_subset = None - if parameter and parameter.getColsampleByTree() < 1.0: - n_features = data.get(0).attributeSize() - n_sample = max(1, int(n_features * parameter.getColsampleByTree())) - feature_subset = random.sample(range(n_features), n_sample) - - root = XGBoostNode(data, gradients, hessians, instance_indices, - None, parameter, 0, feature_subset) - self._DecisionTree__root = root - - def predictValue(self, instance: Instance) -> float: - """ - Predict the raw value for gradient boosting. - """ - return self._DecisionTree__root.predictLeafValue(instance) - - -class XGBoostClassifier(ValidatedModel): - """ - XGBoost Gradient Boosting Classifier. - """ - - def __init__(self): - """ - Initialize XGBoost classifier. - """ - self.__trees = [] - self.__class_labels = [] - self.__n_classes = 0 - self.__base_score = 0.0 - self.__parameter = None - self.__feature_importance = {} - self.__training_history = [] - - def __sigmoid(self, x: float) -> float: - """ - Apply sigmoid function with numerical stability. - """ - if x > 20: - return 1.0 - if x < -20: - return 0.0 - return 1.0 / (1.0 + exp(-x)) - - def __softmax(self, scores: List[float]) -> List[float]: - """ - Apply softmax function with numerical stability. - """ - max_score = max(scores) - exp_scores = [exp(s - max_score) for s in scores] - sum_exp = sum(exp_scores) - return [e / sum_exp for e in exp_scores] - - def train(self, trainSet: InstanceList, parameters: XGBoostParameter, - validationSet: Optional[InstanceList] = None) -> None: - """ - Train the XGBoost classifier. - """ - self.__parameter = parameters - self.__class_labels = trainSet.getDistinctClassLabels() - self.__n_classes = len(self.__class_labels) - self.__training_history = [] - self.__trees = [] # Initialize/reset trees - - # Set random seed for reproducibility - random.seed(parameters.getSeed()) - - if self.__n_classes == 2: - # Binary classification - self.__trainBinary(trainSet, parameters, validationSet) - else: - # Multiclass classification - self.__trainMulticlass(trainSet, parameters, validationSet) - - def __trainBinary(self, trainSet: InstanceList, - parameters: XGBoostParameter, - validationSet: Optional[InstanceList] = None) -> None: - """ - Train for binary classification. - """ - n_samples = trainSet.size() - - # Initialize with log odds - positive_count = sum(1 for i in range(n_samples) - if trainSet.get(i).getClassLabel() == self.__class_labels[1]) - - if positive_count == 0: - self.__base_score = -5.0 - elif positive_count == n_samples: - self.__base_score = 5.0 - else: - self.__base_score = log(positive_count / (n_samples - positive_count)) - - predictions = [self.__base_score] * n_samples - - # Early stopping variables - best_val_error = float('inf') - rounds_without_improvement = 0 - best_n_trees = 0 - - # Boosting iterations - for iteration in range(parameters.getNEstimators()): - # Sample instances - if parameters.getSubsample() < 1.0: - n_subsample = max(1, int(n_samples * parameters.getSubsample())) - sample_indices = random.sample(range(n_samples), n_subsample) - else: - sample_indices = list(range(n_samples)) - - # Calculate gradients and hessians - gradients = [0.0] * n_samples - hessians = [0.0] * n_samples - - for i in range(n_samples): - pred_prob = self.__sigmoid(predictions[i]) - true_label = 1.0 if trainSet.get(i).getClassLabel() == self.__class_labels[1] else 0.0 - - gradients[i] = pred_prob - true_label - hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) - - # Build tree - tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) - self.__trees.append(tree) - - # Update predictions - learning_rate = parameters.getLearningRate() - for i in range(n_samples): - predictions[i] += learning_rate * tree.predictValue(trainSet.get(i)) - - # Early stopping check - if validationSet is not None: - val_error = self.__calculateError(validationSet) - self.__training_history.append({ - 'iteration': iteration, - 'validation_error': val_error - }) - - if val_error < best_val_error: - best_val_error = val_error - best_n_trees = iteration + 1 - rounds_without_improvement = 0 - else: - rounds_without_improvement += 1 - - if rounds_without_improvement >= parameters.getEarlyStoppingRounds(): - self.__trees = self.__trees[:best_n_trees] - break - - def __trainMulticlass(self, trainSet: InstanceList, - parameters: XGBoostParameter, - validationSet: Optional[InstanceList] = None) -> None: - """ - Train for multiclass classification. - """ - n_samples = trainSet.size() - - # Initialize predictions for each class - predictions = [[0.0 for _ in range(n_samples)] for _ in range(self.__n_classes)] - - # Initialize trees as list of lists - self.__trees = [[] for _ in range(self.__n_classes)] - - # Early stopping variables - best_val_error = float('inf') - rounds_without_improvement = 0 - best_n_trees = 0 - - for iteration in range(parameters.getNEstimators()): - # Sample instances - if parameters.getSubsample() < 1.0: - n_subsample = max(1, int(n_samples * parameters.getSubsample())) - sample_indices = random.sample(range(n_samples), n_subsample) - else: - sample_indices = list(range(n_samples)) - - for class_idx in range(self.__n_classes): - target_class = self.__class_labels[class_idx] - - # Calculate gradients and hessians - gradients = [0.0] * n_samples - hessians = [0.0] * n_samples - - for i in range(n_samples): - scores = [predictions[c][i] for c in range(self.__n_classes)] - probs = self.__softmax(scores) - - true_label = 1.0 if trainSet.get(i).getClassLabel() == target_class else 0.0 - pred_prob = probs[class_idx] - - gradients[i] = pred_prob - true_label - hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) - - # Build tree - tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) - self.__trees[class_idx].append(tree) - - # Update predictions - learning_rate = parameters.getLearningRate() - for i in range(n_samples): - predictions[class_idx][i] += learning_rate * tree.predictValue(trainSet.get(i)) - - # Early stopping check - if validationSet is not None: - val_error = self.__calculateError(validationSet) - self.__training_history.append({ - 'iteration': iteration, - 'validation_error': val_error - }) - - if val_error < best_val_error: - best_val_error = val_error - best_n_trees = iteration + 1 - rounds_without_improvement = 0 - else: - rounds_without_improvement += 1 - - if rounds_without_improvement >= parameters.getEarlyStoppingRounds(): - for class_idx in range(self.__n_classes): - self.__trees[class_idx] = self.__trees[class_idx][:best_n_trees] - break - - def __calculateError(self, testSet: InstanceList) -> float: - """ - Calculate classification error. - """ - n_errors = 0 - for i in range(testSet.size()): - instance = testSet.get(i) - predicted = self.predict(instance) - if predicted != instance.getClassLabel(): - n_errors += 1 - return n_errors / testSet.size() if testSet.size() > 0 else 0.0 - - def predict(self, instance: Instance) -> str: - """ - Predict class label. - """ - # Check if multiclass (list of lists) or binary (flat list) - if self.__trees and isinstance(self.__trees[0], list): - # Multiclass - scores = [0.0] * self.__n_classes - learning_rate = self.__parameter.getLearningRate() - - for class_idx in range(self.__n_classes): - for tree in self.__trees[class_idx]: - scores[class_idx] += learning_rate * tree.predictValue(instance) - - max_idx = scores.index(max(scores)) - return self.__class_labels[max_idx] - else: - # Binary - score = self.__base_score - learning_rate = self.__parameter.getLearningRate() - - for tree in self.__trees: - score += learning_rate * tree.predictValue(instance) - - prob = self.__sigmoid(score) - return self.__class_labels[1] if prob >= 0.5 else self.__class_labels[0] - - def predictProbability(self, instance: Instance) -> Dict[str, float]: - """ - Predict probability distribution. - """ - if self.__trees and isinstance(self.__trees[0], list): - # Multiclass - scores = [0.0] * self.__n_classes - learning_rate = self.__parameter.getLearningRate() - - for class_idx in range(self.__n_classes): - for tree in self.__trees[class_idx]: - scores[class_idx] += learning_rate * tree.predictValue(instance) - - probs = self.__softmax(scores) - return {self.__class_labels[i]: probs[i] for i in range(self.__n_classes)} - else: - # Binary - score = self.__base_score - learning_rate = self.__parameter.getLearningRate() - - for tree in self.__trees: - score += learning_rate * tree.predictValue(instance) - - prob_positive = self.__sigmoid(score) - return { - self.__class_labels[0]: 1.0 - prob_positive, - self.__class_labels[1]: prob_positive - } - - def getTrainingHistory(self) -> List[Dict]: - """ - Get training history. - """ - return self.__training_history - - def getFeatureImportance(self) -> Dict[int, float]: - """ - Get feature importance scores. - """ - return self.__feature_importance - - def loadModel(self, fileName: str) -> None: - """ - Load model from file. - """ - import pickle - try: - with open(fileName, 'rb') as f: - model_data = pickle.load(f) - self.__trees = model_data['trees'] - self.__class_labels = model_data['class_labels'] - self.__n_classes = model_data['n_classes'] - self.__base_score = model_data['base_score'] - self.__parameter = model_data['parameter'] - except Exception as e: - raise IOError(f"Failed to load model from {fileName}: {str(e)}") - - def saveModel(self, fileName: str) -> None: - """ - Save model to file. - """ - import pickle - try: - model_data = { - 'trees': self.__trees, - 'class_labels': self.__class_labels, - 'n_classes': self.__n_classes, - 'base_score': self.__base_score, - 'parameter': self.__parameter - } - with open(fileName, 'wb') as f: - pickle.dump(model_data, f) - except Exception as e: - raise IOError(f"Failed to save model to {fileName}: {str(e)}") \ No newline at end of file diff --git a/Classification/Model/XGBoost/__pycache__/XGBoost.cpython-314.pyc b/Classification/Model/XGBoost/__pycache__/XGBoost.cpython-314.pyc index 77a49358525679b55de4049be746770462b12078..e390a34807a55f53d004b436abee08963245d154 100644 GIT binary patch delta 34 pcmcb+mFe_WCSGkmUM>b8U{a3HjGV~(i*eIr4o3COj*N3=0syIB3Gx5{ delta 53 zcmX@TmFezQCSGkmUM>b8I3ydNnLUyB7vqu19E|Ehx(c4T1x5K~sVNF!sYS(^`FWf5 I8RyId0J*IZX#fBK diff --git a/Classification/Parameter/XGBoostParameter.py b/Classification/Parameter/XGBoostParameter.py new file mode 100644 index 0000000..0ae0025 --- /dev/null +++ b/Classification/Parameter/XGBoostParameter.py @@ -0,0 +1,103 @@ +""" +XGBoost Parameter Configuration +""" + +from Classification.Parameter.Parameter import Parameter + + +class XGBoostParameter(Parameter): + """ + Parameter class for XGBoost algorithm. + + Attributes: + __learning_rate: Step size shrinkage to prevent overfitting (0 < eta <= 1) + __n_estimators: Number of boosting rounds (trees) + __max_depth: Maximum depth of trees + __min_child_weight: Minimum sum of instance weight needed in a child + __gamma: Minimum loss reduction required for split + __subsample: Subsample ratio of training instances (0 < ratio <= 1) + __colsample_bytree: Subsample ratio of columns when constructing each tree + __reg_lambda: L2 regularization term on weights + __reg_alpha: L1 regularization term on weights + __early_stopping_rounds: Stop if no improvement for N rounds + """ + + def __init__(self, seed: int, + learning_rate: float = 0.3, + n_estimators: int = 100, + max_depth: int = 6, + min_child_weight: float = 0.0, + gamma: float = 0.0, + subsample: float = 1.0, + colsample_bytree: float = 1.0, + reg_lambda: float = 0.0, + reg_alpha: float = 0.0, + early_stopping_rounds: int = 10): + """ + Initialize XGBoost parameters with validation. + + Raises: + ValueError: If parameters are out of valid ranges + """ + super().__init__(seed) + + # Validate parameters + if not 0 < learning_rate <= 1: + raise ValueError("learning_rate must be in (0, 1]") + if n_estimators < 1: + raise ValueError("n_estimators must be at least 1") + if max_depth < 1: + raise ValueError("max_depth must be at least 1") + if min_child_weight < 0: + raise ValueError("min_child_weight must be non-negative") + if gamma < 0: + raise ValueError("gamma must be non-negative") + if not 0 < subsample <= 1: + raise ValueError("subsample must be in (0, 1]") + if not 0 < colsample_bytree <= 1: + raise ValueError("colsample_bytree must be in (0, 1]") + if reg_lambda < 0: + raise ValueError("reg_lambda must be non-negative") + if reg_alpha < 0: + raise ValueError("reg_alpha must be non-negative") + + self.__learning_rate = learning_rate + self.__n_estimators = n_estimators + self.__max_depth = max_depth + self.__min_child_weight = min_child_weight + self.__gamma = gamma + self.__subsample = subsample + self.__colsample_bytree = colsample_bytree + self.__reg_lambda = reg_lambda + self.__reg_alpha = reg_alpha + self.__early_stopping_rounds = early_stopping_rounds + + def getLearningRate(self) -> float: + return self.__learning_rate + + def getNEstimators(self) -> int: + return self.__n_estimators + + def getMaxDepth(self) -> int: + return self.__max_depth + + def getMinChildWeight(self) -> float: + return self.__min_child_weight + + def getGamma(self) -> float: + return self.__gamma + + def getSubsample(self) -> float: + return self.__subsample + + def getColsampleByTree(self) -> float: + return self.__colsample_bytree + + def getRegLambda(self) -> float: + return self.__reg_lambda + + def getRegAlpha(self) -> float: + return self.__reg_alpha + + def getEarlyStoppingRounds(self) -> int: + return self.__early_stopping_rounds \ No newline at end of file diff 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+ xgboost = XGBoostModel() xgboostParameter = XGBoostParameter( seed=1, @@ -59,4 +59,4 @@ def test_Train(self): if __name__ == '__main__': - unittest.main() + unittest.main() \ No newline at end of file diff --git a/test/Classifier/__pycache__/XGBoostTest.cpython-314.pyc b/test/Classifier/__pycache__/XGBoostTest.cpython-314.pyc index 7dfad2bff120f5cc160ccc6df9bff09ea0ab9895..155387c6a9b485a04513cdaa13d83ce65a951fa0 100644 GIT binary patch delta 260 zcmbO&c1(;{n~#@^0SLMi;xoTbiQVPKG9h@ITXEIM(LJTFg#yHkFCafxq!N@~u=!}r;^ zA2Kp9G%(x|lAElzc^&&~rgW}b9Hn`gB_*lFCAYMka}tY-Gt)AY6H7Al^Yp;l^j!0b zQ*)DYQuUAxD*{=4OA}2)Kw?p1ZfZ$t5lk&yU~)ZIh_o(H572&wVlyD|ftit!@iqhh PQwHa|3~rO(ap?j8xo%43 delta 183 zcmX>mHd~BWn~#@^0SH2Q<1>Fu1#2x9SM@n9`sm1huTP-F;V6=w)y zi)A%o2B~IXC}E3b4`R27U|>iQVPKG9h-C;6nAl(_BpBiDl%HQ*;+&IMT%4JfnOd}Q z-+eZoM~n;%4GedLlrIaZZeGDYn~9h67Ds7bW=TnEamg)}$pKuVB2b-rP`U_Y)8tiL VA&fec|8t44INfD%oGi($3jmJ>F1-K% diff --git a/test/debug.py b/test/debug.py deleted file mode 100644 index de3ee65..0000000 --- a/test/debug.py +++ /dev/null @@ -1,33 +0,0 @@ -import sys -sys.path.insert(0, '../') - -from Classification.Attribute.AttributeType import AttributeType -from Classification.DataSet.DataDefinition import DataDefinition -from Classification.DataSet.DataSet import DataSet -from Classification.Model.XGBoost.XGBoost import XGBoostClassifier, XGBoostParameter - -## Run all datasets -datasets = { - 'iris': (4 * [AttributeType.CONTINUOUS], "../datasets/iris.data"), - 'bupa': (6 * [AttributeType.CONTINUOUS], "../datasets/bupa.data"), - 'dermatology': (34 * [AttributeType.CONTINUOUS], "../datasets/dermatology.data"), - 'car': (6 * [AttributeType.DISCRETE], "../datasets/car.data"), - 'tictactoe': (9 * [AttributeType.DISCRETE], "../datasets/tictactoe.data"), -} - -xgboostParameter = XGBoostParameter(seed=1, n_estimators=50, max_depth=4, learning_rate=0.3) - -print("\nFinal test of all datasets:") -print("="*60) -for name, (attr_types, file_path) in datasets.items(): - dataDefinition = DataDefinition(attr_types) - dataset = DataSet(dataDefinition, ",", file_path) - data = dataset.getInstanceList() - - xgboost = XGBoostClassifier() - xgboost.train(data, xgboostParameter) - result = xgboost.test(data) - error_pct = result.getErrorRate() * 100 - - status = "✓ PASS" if error_pct < 0.01 else "✗ FAIL" - print(f"{name:15s}: {error_pct:6.4f}% [{status}]") \ No newline at end of file From 831983a1d9a266bba363faad9c2cb7885d395d62 Mon Sep 17 00:00:00 2001 From: IdrissaIyamuremye Date: Thu, 8 Jan 2026 13:01:49 +0300 Subject: [PATCH 4/8] Clearning packages --- .../__pycache__/Attribute.cpython-314.pyc | Bin 1346 -> 1342 bytes .../__pycache__/AttributeType.cpython-314.pyc | Bin 682 -> 678 bytes .../BinaryAttribute.cpython-314.pyc | Bin 1234 -> 1230 bytes .../ContinuousAttribute.cpython-314.pyc | Bin 3113 -> 3109 bytes .../DiscreteAttribute.cpython-314.pyc | Bin 2689 -> 2685 bytes .../DiscreteIndexedAttribute.cpython-314.pyc | Bin 3355 -> 3351 bytes 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""" if x > 20: return 1.0 @@ -44,6 +84,17 @@ def __sigmoid(self, x: float) -> float: def __softmax(self, scores: List[float]) -> List[float]: """ Apply softmax function with numerical stability. + + Parameters + ---------- + scores : List[float] + Raw scores for each class. + + Returns + ------- + List[float] + Normalized probability distribution over classes. + Sum of all probabilities equals 1.0. """ max_score = max(scores) exp_scores = [exp(s - max_score) for s in scores] @@ -53,33 +104,69 @@ def __softmax(self, scores: List[float]) -> List[float]: def train(self, trainSet: InstanceList, parameters: XGBoostParameter, validationSet: Optional[InstanceList] = None) -> None: """ - Train the XGBoost classifier. + Train the XGBoost classifier using gradient boosting. + + Parameters + ---------- + trainSet : InstanceList + Training dataset containing labeled instances. + parameters : XGBoostParameter + Configuration parameters for training (learning rate, max depth, etc.). + validationSet : Optional[InstanceList], default=None + Optional validation set for early stopping and performance monitoring. + + Returns + ------- + None + Model is trained in-place, modifying internal state. + + Notes + ----- + - Automatically detects binary vs multiclass classification + - Uses early stopping if validation set is provided + - Supports instance subsampling for stochastic boosting """ self.__parameter = parameters self.__class_labels = trainSet.getDistinctClassLabels() self.__n_classes = len(self.__class_labels) self.__training_history = [] - self.__trees = [] # Initialize/reset trees + self.__trees = [] - # Set random seed for reproducibility random.seed(parameters.getSeed()) if self.__n_classes == 2: - # Binary classification self.__trainBinary(trainSet, parameters, validationSet) else: - # Multiclass classification self.__trainMulticlass(trainSet, parameters, validationSet) def __trainBinary(self, trainSet: InstanceList, parameters: XGBoostParameter, validationSet: Optional[InstanceList] = None) -> None: """ - Train for binary classification. + Train for binary classification using logistic loss. + + Parameters + ---------- + trainSet : InstanceList + Training dataset with binary class labels. + parameters : XGBoostParameter + Training configuration parameters. + validationSet : Optional[InstanceList], default=None + Optional validation set for early stopping. + + Returns + ------- + None + Updates internal trees and base score. + + Notes + ----- + - Initializes predictions with log odds of positive class + - Uses gradient and hessian of logistic loss + - Implements early stopping based on validation error """ n_samples = trainSet.size() - # Initialize with log odds positive_count = sum(1 for i in range(n_samples) if trainSet.get(i).getClassLabel() == self.__class_labels[1]) @@ -92,21 +179,17 @@ def __trainBinary(self, trainSet: InstanceList, predictions = [self.__base_score] * n_samples - # Early stopping variables best_val_error = float('inf') rounds_without_improvement = 0 best_n_trees = 0 - # Boosting iterations for iteration in range(parameters.getNEstimators()): - # Sample instances if parameters.getSubsample() < 1.0: n_subsample = max(1, int(n_samples * parameters.getSubsample())) sample_indices = random.sample(range(n_samples), n_subsample) else: sample_indices = list(range(n_samples)) - # Calculate gradients and hessians gradients = [0.0] * n_samples hessians = [0.0] * n_samples @@ -117,16 +200,13 @@ def __trainBinary(self, trainSet: InstanceList, gradients[i] = pred_prob - true_label hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) - # Build tree tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) self.__trees.append(tree) - # Update predictions learning_rate = parameters.getLearningRate() for i in range(n_samples): predictions[i] += learning_rate * tree.predictValue(trainSet.get(i)) - # Early stopping check if validationSet is not None: val_error = self.__calculateError(validationSet) self.__training_history.append({ @@ -149,23 +229,39 @@ def __trainMulticlass(self, trainSet: InstanceList, parameters: XGBoostParameter, validationSet: Optional[InstanceList] = None) -> None: """ - Train for multiclass classification. + Train for multiclass classification using softmax loss. + + Parameters + ---------- + trainSet : InstanceList + Training dataset with multiple class labels. + parameters : XGBoostParameter + Training configuration parameters. + validationSet : Optional[InstanceList], default=None + Optional validation set for early stopping. + + Returns + ------- + None + Updates internal trees structure (one tree list per class). + + Notes + ----- + - Uses one-vs-all approach with softmax probabilities + - Trains separate tree ensemble for each class + - Gradient and hessian computed from softmax derivatives """ n_samples = trainSet.size() - # Initialize predictions for each class predictions = [[0.0 for _ in range(n_samples)] for _ in range(self.__n_classes)] - # Initialize trees as list of lists self.__trees = [[] for _ in range(self.__n_classes)] - # Early stopping variables best_val_error = float('inf') rounds_without_improvement = 0 best_n_trees = 0 for iteration in range(parameters.getNEstimators()): - # Sample instances if parameters.getSubsample() < 1.0: n_subsample = max(1, int(n_samples * parameters.getSubsample())) sample_indices = random.sample(range(n_samples), n_subsample) @@ -175,7 +271,6 @@ def __trainMulticlass(self, trainSet: InstanceList, for class_idx in range(self.__n_classes): target_class = self.__class_labels[class_idx] - # Calculate gradients and hessians gradients = [0.0] * n_samples hessians = [0.0] * n_samples @@ -189,16 +284,13 @@ def __trainMulticlass(self, trainSet: InstanceList, gradients[i] = pred_prob - true_label hessians[i] = max(pred_prob * (1.0 - pred_prob), 1e-6) - # Build tree tree = XGBoostTree(trainSet, gradients, hessians, sample_indices, parameters) self.__trees[class_idx].append(tree) - # Update predictions learning_rate = parameters.getLearningRate() for i in range(n_samples): predictions[class_idx][i] += learning_rate * tree.predictValue(trainSet.get(i)) - # Early stopping check if validationSet is not None: val_error = self.__calculateError(validationSet) self.__training_history.append({ @@ -220,7 +312,17 @@ def __trainMulticlass(self, trainSet: InstanceList, def __calculateError(self, testSet: InstanceList) -> float: """ - Calculate classification error. + Calculate classification error rate on a dataset. + + Parameters + ---------- + testSet : InstanceList + Dataset to evaluate predictions on. + + Returns + ------- + float + Error rate as fraction of misclassified instances (range: 0.0 to 1.0). """ n_errors = 0 for i in range(testSet.size()): @@ -232,11 +334,24 @@ def __calculateError(self, testSet: InstanceList) -> float: def predict(self, instance: Instance) -> str: """ - Predict class label. + Predict the class label for a single instance. + + Parameters + ---------- + instance : Instance + Input instance to classify. + + Returns + ------- + str + Predicted class label. + + Notes + ----- + - For binary: returns class with probability >= 0.5 + - For multiclass: returns class with highest score """ - # Check if multiclass (list of lists) or binary (flat list) if self.__trees and isinstance(self.__trees[0], list): - # Multiclass scores = [0.0] * self.__n_classes learning_rate = self.__parameter.getLearningRate() @@ -247,7 +362,6 @@ def predict(self, instance: Instance) -> str: max_idx = scores.index(max(scores)) return self.__class_labels[max_idx] else: - # Binary score = self.__base_score learning_rate = self.__parameter.getLearningRate() @@ -259,10 +373,20 @@ def predict(self, instance: Instance) -> str: def predictProbability(self, instance: Instance) -> Dict[str, float]: """ - Predict probability distribution. + Predict probability distribution over all classes. + + Parameters + ---------- + instance : Instance + Input instance to get probability predictions for. + + Returns + ------- + Dict[str, float] + Dictionary mapping each class label to its predicted probability. + Probabilities sum to 1.0. """ if self.__trees and isinstance(self.__trees[0], list): - # Multiclass scores = [0.0] * self.__n_classes learning_rate = self.__parameter.getLearningRate() @@ -273,7 +397,6 @@ def predictProbability(self, instance: Instance) -> Dict[str, float]: probs = self.__softmax(scores) return {self.__class_labels[i]: probs[i] for i in range(self.__n_classes)} else: - # Binary score = self.__base_score learning_rate = self.__parameter.getLearningRate() @@ -288,19 +411,46 @@ def predictProbability(self, instance: Instance) -> Dict[str, float]: def getTrainingHistory(self) -> List[Dict]: """ - Get training history. + Get the training history with validation metrics. + + Returns + ------- + List[Dict] + List of dictionaries containing iteration number and validation error. + Empty list if no validation set was used during training. """ return self.__training_history def getFeatureImportance(self) -> Dict[int, float]: """ Get feature importance scores. + + Returns + ------- + Dict[int, float] + Dictionary mapping feature indices to their importance scores. + Currently returns empty dict (feature not yet implemented). """ return self.__feature_importance def loadModel(self, fileName: str) -> None: """ - Load model from file. + Load a trained model from a file. + + Parameters + ---------- + fileName : str + Path to the file containing the serialized model. + + Returns + ------- + None + Model state is loaded in-place. + + Raises + ------ + IOError + If file cannot be read or model data is corrupted. """ import pickle try: @@ -316,7 +466,22 @@ def loadModel(self, fileName: str) -> None: def saveModel(self, fileName: str) -> None: """ - Save model to file. + Save the trained model to a file. + + Parameters + ---------- + fileName : str + Path where the model should be saved. + + Returns + ------- + None + Model is serialized and written to disk. + + Raises + ------ + IOError + If file cannot be written or serialization fails. """ import pickle try: diff --git a/Classification/Model/Ensemble/__pycache__/BaggingModel.cpython-314.pyc b/Classification/Model/Ensemble/__pycache__/BaggingModel.cpython-314.pyc deleted file mode 100644 index 8362d5f37e6c5110046836c90c1ae8ee0d6c2963..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2904 zcmb7G%WoS+7@zgq8>h{K=D{nICJJ#OZW;ouq6!h3mPFLSb%KS2o7Ki1J1f?^W@cPy zx#WOEIKi2gIqjL_xGizHfHdc0vVWWY2u_`sRE7zJ2vfuTG%l zzumBICJFfiCt-^R#PNqfY?BRA)KsnD8CU&YAfxb`1)JjyX#MDZ>7?+6>k;!5Lq)&R8;6)`tMFYn8#}

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Attributes: - __learning_rate: Step size shrinkage to prevent overfitting (0 < eta <= 1) - __n_estimators: Number of boosting rounds (trees) - __max_depth: Maximum depth of trees - __min_child_weight: Minimum sum of instance weight needed in a child - __gamma: Minimum loss reduction required for split - __subsample: Subsample ratio of training instances (0 < ratio <= 1) - __colsample_bytree: Subsample ratio of columns when constructing each tree - __reg_lambda: L2 regularization term on weights - __reg_alpha: L1 regularization term on weights - __early_stopping_rounds: Stop if no improvement for N rounds + __learning_rate (float): Step size shrinkage to prevent overfitting (0 < eta <= 1) + __n_estimators (int): Number of boosting rounds (trees) + __max_depth (int): Maximum depth of trees + __min_child_weight (float): Minimum sum of instance weight needed in a child + __gamma (float): Minimum loss reduction required for split + __subsample (float): Subsample ratio of training instances (0 < ratio <= 1) + __colsample_bytree (float): Subsample ratio of columns when constructing each tree + __reg_lambda (float): L2 regularization term on weights + __reg_alpha (float): L1 regularization term on weights + __early_stopping_rounds (int): Stop if no improvement for N rounds """ def __init__(self, seed: int, @@ -36,6 +36,19 @@ def __init__(self, seed: int, """ Initialize XGBoost parameters with validation. + Args: + seed (int): Random seed for reproducibility. + learning_rate (float): Step size shrinkage to prevent overfitting (0 < eta <= 1) + n_estimators (int): Number of boosting rounds (trees) + max_depth (int): Maximum depth of trees + min_child_weight (float): Minimum sum of instance weight needed in a child + gamma (float): Minimum loss reduction required for split + subsample (float): Subsample ratio of training instances (0 < ratio <= 1) + colsample_bytree (float): Subsample ratio of columns when constructing each tree + reg_lambda (float): L2 regularization term on weights + reg_alpha (float): L1 regularization term on weights + early_stopping_rounds (int): Stop if no improvement for N rounds + Raises: ValueError: If parameters are out of valid ranges """ @@ -73,31 +86,41 @@ def __init__(self, seed: int, self.__early_stopping_rounds = early_stopping_rounds def getLearningRate(self) -> float: + """Return the learning rate (eta).""" return self.__learning_rate def getNEstimators(self) -> int: + """Return the number of boosting rounds (trees).""" return self.__n_estimators def getMaxDepth(self) -> int: + """Return the maximum depth of trees.""" return self.__max_depth def getMinChildWeight(self) -> float: + """Return the minimum sum of instance weight needed in a child.""" return self.__min_child_weight def getGamma(self) -> float: + """Return the minimum loss reduction required for split.""" return self.__gamma def getSubsample(self) -> float: + """Return the subsample ratio of training instances.""" return self.__subsample def getColsampleByTree(self) -> float: + """Return the subsample ratio of columns when constructing each tree.""" return self.__colsample_bytree def getRegLambda(self) -> float: + """Return the L2 regularization term on weights.""" return self.__reg_lambda def getRegAlpha(self) -> float: + """Return the L1 regularization term on weights.""" return self.__reg_alpha def getEarlyStoppingRounds(self) -> int: - return self.__early_stopping_rounds \ No newline at end of file + """Return the number of rounds for early stopping.""" + return self.__early_stopping_rounds diff --git a/Classification/Parameter/__pycache__/ActivationFunction.cpython-314.pyc b/Classification/Parameter/__pycache__/ActivationFunction.cpython-314.pyc deleted file mode 100644 index 51a306143eb6f56d7d4ebcc6f04b63c817915e9e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 572 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mode 100644 index e3967ee..0000000 --- a/run_test.py +++ /dev/null @@ -1,16 +0,0 @@ -import sys -import os -import unittest - -# Add project root to sys.path -project_root = os.path.abspath(os.path.dirname(__file__)) -sys.path.insert(0, project_root) - -# Import your specific test case -from test.Classifier.XGBoostTest import XGBoostTest - -if __name__ == '__main__': - # Load only XGBoostTest - suite = unittest.TestLoader().loadTestsFromTestCase(XGBoostTest) - runner = unittest.TextTestRunner(verbosity=2) - runner.run(suite) \ No newline at end of file diff --git a/test/Classifier/__pycache__/ClassifierTest.cpython-314.pyc b/test/Classifier/__pycache__/ClassifierTest.cpython-314.pyc deleted file mode 100644 index 9f662d219ded3e8ee87d3ed0b97782ece7953747..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3021 zcmcIm&2JM|5P!Q~uh%AVoDbtT0Vkx5TdQCogd}Ry6qGTuAiVO0B9MxRC}Gj-A={ZWa`!A1Y7Dym|A+Gru=G 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zs5mAw)4;^c+}tR}CAB!aB)=fWIVZ8WI5RCXIk6-&KTkKHGNvT8xCAboS`-r>pP83g m5+AQuP_I|p@<2{{|u76W#eoW6Iz^F zR2-9;X<%YzZf+Fgl3JWyl3x(xoRe5woSBxHoLG{XpQjs88B>y4ToMx>pP83g5+AQu iP;}bI@BV!RWkOcr44 Date: Tue, 13 Jan 2026 20:05:34 +0300 Subject: [PATCH 6/8] Added Attribute for XGBoost --- .../Model/DecisionTree/XGBoostNode.py | 36 ++++++ .../Model/DecisionTree/XGBoostTree.py | 27 +++++ Classification/Model/_ | 0 Classification/Parameter/XGBoostParameter.py | 108 ++++++++++++++---- 4 files changed, 149 insertions(+), 22 deletions(-) delete mode 100644 Classification/Model/_ diff --git a/Classification/Model/DecisionTree/XGBoostNode.py b/Classification/Model/DecisionTree/XGBoostNode.py index 795f66e..dfcaf24 100644 --- a/Classification/Model/DecisionTree/XGBoostNode.py +++ b/Classification/Model/DecisionTree/XGBoostNode.py @@ -13,6 +13,16 @@ class XGBoostNode(DecisionNode): """ Extended DecisionNode for XGBoost that supports gradient-based splits. Implements XGBoost-specific splitting logic with proper regularization. + + Attributes: + EPSILON (float): Numerical stability constant + __gradients (List[float]): Gradient values for instances + __hessians (List[float]): Hessian values for instances + __instance_indices (List[int]): Indices of instances in this node + __parameter (XGBoostParameter): XGBoost hyperparameters + __depth (int): Current depth of the node in the tree + __leaf_value (float): Predicted value for leaf nodes + __feature_subset (Optional[List[int]]): Subset of features to consider for splitting """ EPSILON = 1e-10 # For numerical stability @@ -27,6 +37,16 @@ def __init__(self, data: InstanceList, feature_subset: Optional[List[int]] = None): """ Initialize XGBoost decision node with gradient and hessian information. + + Args: + data (InstanceList): Training instances + gradients (List[float]): Gradient values + hessians (List[float]): Hessian values + instance_indices (List[int]): Indices of instances in this node + condition: Split condition for this node + parameter (XGBoostParameter): Hyperparameters + depth (int): Current tree depth + feature_subset (Optional[List[int]]): Features to consider """ self.__gradients = gradients self.__hessians = hessians @@ -107,6 +127,16 @@ def __findBestSplit(self, data: InstanceList, parameter: XGBoostParameter) -> None: """ Find the best split using XGBoost's gain formula. + + Args: + data (InstanceList): Training instances + gradients (List[float]): Gradient values + hessians (List[float]): Hessian values + instance_indices (List[int]): Indices of instances to split + parameter (XGBoostParameter): Hyperparameters + + Returns: + None: Updates node children if beneficial split found """ from Classification.Attribute.ContinuousAttribute import ContinuousAttribute from Classification.Attribute.DiscreteAttribute import DiscreteAttribute @@ -263,6 +293,12 @@ def __findBestSplit(self, data: InstanceList, def predictLeafValue(self, instance: Instance) -> float: """ Predict the leaf value (weight) for the given instance. + + Args: + instance (Instance): Instance to predict + + Returns: + float: Predicted leaf value (weight) for this instance """ if self.leaf: return self.__leaf_value diff --git a/Classification/Model/DecisionTree/XGBoostTree.py b/Classification/Model/DecisionTree/XGBoostTree.py index a582dee..9aca770 100644 --- a/Classification/Model/DecisionTree/XGBoostTree.py +++ b/Classification/Model/DecisionTree/XGBoostTree.py @@ -14,6 +14,14 @@ class XGBoostTree(DecisionTree): """ Single tree in the XGBoost ensemble. + + This class represents an individual decision tree used in the XGBoost + gradient boosting ensemble. It extends the DecisionTree class with + XGBoost-specific functionality including gradient-based splits and + feature subsampling. + + Attributes: + _DecisionTree__root (XGBoostNode): Root node of the decision tree """ def __init__(self, data: InstanceList, @@ -23,6 +31,14 @@ def __init__(self, data: InstanceList, parameter: XGBoostParameter): """ Initialize XGBoost tree with gradient information. + + Args: + data (InstanceList): Training instances for building the tree + gradients (List[float]): First-order gradient values for each instance + hessians (List[float]): Second-order gradient (Hessian) values for each instance + instance_indices (List[int]): Indices of instances to use for this tree + parameter (XGBoostParameter): Hyperparameters controlling tree construction + including max depth, regularization, and feature sampling """ # Determine feature subset for this tree (colsample_bytree) feature_subset = None @@ -38,5 +54,16 @@ def __init__(self, data: InstanceList, def predictValue(self, instance: Instance) -> float: """ Predict the raw value for gradient boosting. + + This method traverses the tree to find the leaf node corresponding + to the given instance and returns its predicted value (weight). + The returned value is used as an additive update in the gradient + boosting process. + + Args: + instance (Instance): Instance to predict the value for + + Returns: + float: Raw predicted value (leaf weight) from this tree """ return self._DecisionTree__root.predictLeafValue(instance) \ No newline at end of file diff --git a/Classification/Model/_ b/Classification/Model/_ deleted file mode 100644 index e69de29..0000000 diff --git a/Classification/Parameter/XGBoostParameter.py b/Classification/Parameter/XGBoostParameter.py index 63dd9f8..bafd63c 100644 --- a/Classification/Parameter/XGBoostParameter.py +++ b/Classification/Parameter/XGBoostParameter.py @@ -9,6 +9,10 @@ class XGBoostParameter(Parameter): """ Parameter class for XGBoost algorithm. + This class encapsulates all hyperparameters used in the XGBoost gradient + boosting implementation, including learning rate, tree structure parameters, + regularization terms, and sampling ratios. + Attributes: __learning_rate (float): Step size shrinkage to prevent overfitting (0 < eta <= 1) __n_estimators (int): Number of boosting rounds (trees) @@ -37,17 +41,27 @@ def __init__(self, seed: int, Initialize XGBoost parameters with validation. Args: - seed (int): Random seed for reproducibility. - learning_rate (float): Step size shrinkage to prevent overfitting (0 < eta <= 1) - n_estimators (int): Number of boosting rounds (trees) - max_depth (int): Maximum depth of trees - min_child_weight (float): Minimum sum of instance weight needed in a child - gamma (float): Minimum loss reduction required for split - subsample (float): Subsample ratio of training instances (0 < ratio <= 1) - colsample_bytree (float): Subsample ratio of columns when constructing each tree - reg_lambda (float): L2 regularization term on weights - reg_alpha (float): L1 regularization term on weights - early_stopping_rounds (int): Stop if no improvement for N rounds + seed (int): Random seed for reproducibility + learning_rate (float, optional): Step size shrinkage to prevent overfitting. + Must be in (0, 1]. Defaults to 0.3 + n_estimators (int, optional): Number of boosting rounds (trees). + Must be at least 1. Defaults to 100 + max_depth (int, optional): Maximum depth of trees. + Must be at least 1. Defaults to 6 + min_child_weight (float, optional): Minimum sum of instance weight (hessian) + needed in a child. Must be non-negative. Defaults to 0.0 + gamma (float, optional): Minimum loss reduction required to make a split. + Must be non-negative. Defaults to 0.0 + subsample (float, optional): Subsample ratio of training instances. + Must be in (0, 1]. Defaults to 1.0 + colsample_bytree (float, optional): Subsample ratio of columns when + constructing each tree. Must be in (0, 1]. Defaults to 1.0 + reg_lambda (float, optional): L2 regularization term on weights. + Must be non-negative. Defaults to 0.0 + reg_alpha (float, optional): L1 regularization term on weights. + Must be non-negative. Defaults to 0.0 + early_stopping_rounds (int, optional): Number of rounds with no improvement + after which training will stop. Defaults to 10 Raises: ValueError: If parameters are out of valid ranges @@ -86,41 +100,91 @@ def __init__(self, seed: int, self.__early_stopping_rounds = early_stopping_rounds def getLearningRate(self) -> float: - """Return the learning rate (eta).""" + """ + Return the learning rate (eta). + + Returns: + float: Learning rate value in (0, 1] + """ return self.__learning_rate def getNEstimators(self) -> int: - """Return the number of boosting rounds (trees).""" + """ + Return the number of boosting rounds (trees). + + Returns: + int: Number of trees to build in the ensemble + """ return self.__n_estimators def getMaxDepth(self) -> int: - """Return the maximum depth of trees.""" + """ + Return the maximum depth of trees. + + Returns: + int: Maximum depth allowed for each tree + """ return self.__max_depth def getMinChildWeight(self) -> float: - """Return the minimum sum of instance weight needed in a child.""" + """ + Return the minimum sum of instance weight needed in a child. + + Returns: + float: Minimum sum of hessian values required in a child node + """ return self.__min_child_weight def getGamma(self) -> float: - """Return the minimum loss reduction required for split.""" + """ + Return the minimum loss reduction required for split. + + Returns: + float: Minimum gain required to make a split + """ return self.__gamma def getSubsample(self) -> float: - """Return the subsample ratio of training instances.""" + """ + Return the subsample ratio of training instances. + + Returns: + float: Proportion of instances to sample for each tree in (0, 1] + """ return self.__subsample def getColsampleByTree(self) -> float: - """Return the subsample ratio of columns when constructing each tree.""" + """ + Return the subsample ratio of columns when constructing each tree. + + Returns: + float: Proportion of features to sample for each tree in (0, 1] + """ return self.__colsample_bytree def getRegLambda(self) -> float: - """Return the L2 regularization term on weights.""" + """ + Return the L2 regularization term on weights. + + Returns: + float: L2 regularization parameter (ridge penalty) + """ return self.__reg_lambda def getRegAlpha(self) -> float: - """Return the L1 regularization term on weights.""" + """ + Return the L1 regularization term on weights. + + Returns: + float: L1 regularization parameter (lasso penalty) + """ return self.__reg_alpha def getEarlyStoppingRounds(self) -> int: - """Return the number of rounds for early stopping.""" - return self.__early_stopping_rounds + """ + Return the number of rounds for early stopping. + + Returns: + int: Number of consecutive rounds without improvement before stopping + """ + return self.__early_stopping_rounds \ No newline at end of file From 912d6e3ded5713fa2928a5e5b29487002b3e19f4 Mon Sep 17 00:00:00 2001 From: IdrissaIyamuremye Date: Tue, 13 Jan 2026 22:42:06 +0300 Subject: [PATCH 7/8] Added underscore attribute correctly --- .../__pycache__/Attribute.cpython-314.pyc | Bin 0 -> 1342 bytes .../__pycache__/AttributeType.cpython-314.pyc | Bin 0 -> 678 bytes .../BinaryAttribute.cpython-314.pyc | Bin 0 -> 1230 bytes .../ContinuousAttribute.cpython-314.pyc | Bin 0 -> 3109 bytes .../DiscreteAttribute.cpython-314.pyc | Bin 0 -> 2685 bytes .../DiscreteIndexedAttribute.cpython-314.pyc | Bin 0 -> 3351 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 179 bytes .../DataDefinition.cpython-314.pyc | Bin 0 -> 7300 bytes .../__pycache__/DataSet.cpython-314.pyc | Bin 0 -> 18203 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 177 bytes .../__pycache__/FeatureSubSet.cpython-314.pyc | Bin 0 -> 3982 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 186 bytes .../CompositeInstance.cpython-314.pyc | Bin 0 -> 3313 bytes .../__pycache__/Instance.cpython-314.pyc | Bin 0 -> 10115 bytes .../__pycache__/__init__.cpython-314.pyc | Bin 0 -> 178 bytes .../__pycache__/InstanceList.cpython-314.pyc | Bin 0 -> 31115 bytes .../InstanceListOfSameClass.cpython-314.pyc | Bin 0 -> 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diff --git a/Classification/Model/DecisionTree/XGBoostNode.py b/Classification/Model/DecisionTree/XGBoostNode.py index dfcaf24..fc6055c 100644 --- a/Classification/Model/DecisionTree/XGBoostNode.py +++ b/Classification/Model/DecisionTree/XGBoostNode.py @@ -1,337 +1,302 @@ """ -XGBoost Decision Node +XGBoost Node for gradient boosting trees """ from typing import List, Optional from Classification.Instance.Instance import Instance from Classification.InstanceList.InstanceList import InstanceList -from Classification.Model.DecisionTree.DecisionNode import DecisionNode +from Classification.Attribute.ContinuousAttribute import ContinuousAttribute +from Classification.Attribute.DiscreteAttribute import DiscreteAttribute from Classification.Parameter.XGBoostParameter import XGBoostParameter -class XGBoostNode(DecisionNode): +class XGBoostNode: """ - Extended DecisionNode for XGBoost that supports gradient-based splits. - Implements XGBoost-specific splitting logic with proper regularization. + A node in the XGBoost decision tree. - Attributes: - EPSILON (float): Numerical stability constant - __gradients (List[float]): Gradient values for instances - __hessians (List[float]): Hessian values for instances - __instance_indices (List[int]): Indices of instances in this node - __parameter (XGBoostParameter): XGBoost hyperparameters - __depth (int): Current depth of the node in the tree - __leaf_value (float): Predicted value for leaf nodes - __feature_subset (Optional[List[int]]): Subset of features to consider for splitting + This class represents a node in a regression tree used for gradient boosting. + It can be either a leaf node (making a prediction) or an internal node with a + split condition. """ - EPSILON = 1e-10 # For numerical stability - - def __init__(self, data: InstanceList, + def __init__(self, + data: InstanceList, gradients: List[float], hessians: List[float], instance_indices: List[int], - condition=None, - parameter: XGBoostParameter = None, + parent: Optional['XGBoostNode'], + parameter: XGBoostParameter, depth: int = 0, feature_subset: Optional[List[int]] = None): """ - Initialize XGBoost decision node with gradient and hessian information. + Initialize an XGBoostNode. Args: - data (InstanceList): Training instances - gradients (List[float]): Gradient values - hessians (List[float]): Hessian values + data (InstanceList): Training instances for this node + gradients (List[float]): First-order gradient values + hessians (List[float]): Second-order gradient (Hessian) values instance_indices (List[int]): Indices of instances in this node - condition: Split condition for this node - parameter (XGBoostParameter): Hyperparameters - depth (int): Current tree depth - feature_subset (Optional[List[int]]): Features to consider + parent (Optional[XGBoostNode]): Parent node + parameter (XGBoostParameter): XGBoost hyperparameters + depth (int): Current depth in the tree + feature_subset (Optional[List[int]]): Subset of features to consider """ - self.__gradients = gradients - self.__hessians = hessians - self.__instance_indices = instance_indices - self.__parameter = parameter - self.__depth = depth - self.__leaf_value = 0.0 - self.__feature_subset = feature_subset - - # Calculate leaf weight using gradient boosting formula - sum_gradients = sum(gradients[i] for i in instance_indices) - sum_hessians = sum(hessians[i] for i in instance_indices) - - if parameter is not None: - reg_lambda = parameter.getRegLambda() - reg_alpha = parameter.getRegAlpha() - else: - reg_lambda = 1.0 - reg_alpha = 0.0 - - # Leaf weight formula with L1 regularization: -G / (H + lambda) - if sum_hessians + reg_lambda > self.EPSILON: - if reg_alpha > self.EPSILON: - # Apply L1 regularization (soft thresholding) - if sum_gradients > reg_alpha: - self.__leaf_value = -(sum_gradients - reg_alpha) / (sum_hessians + reg_lambda) - elif sum_gradients < -reg_alpha: - self.__leaf_value = -(sum_gradients + reg_alpha) / (sum_hessians + reg_lambda) - else: - self.__leaf_value = 0.0 - else: - # No regularization - use pure gradient boosting formula - denominator = sum_hessians + reg_lambda if reg_lambda > 0 else sum_hessians - self.__leaf_value = -sum_gradients / max(denominator, 1e-10) - - # Initialize parent class attributes - self.leaf = True - self.children = [] - self._DecisionNode__condition = condition - self._DecisionNode__class_label = None - - # Store class distribution for compatibility - from Math.DiscreteDistribution import DiscreteDistribution - self._DecisionNode__classLabelsDistribution = DiscreteDistribution() - - # Get labels only for instances in this node - node_data = InstanceList() - for idx in instance_indices: - node_data.add(data.get(idx)) - - labels = node_data.getClassLabels() - for label in labels: - self._DecisionNode__classLabelsDistribution.addItem(label) - self._DecisionNode__class_label = InstanceList.getMaximum(labels) if labels else None - - # Check stopping criteria - if depth >= (parameter.getMaxDepth() if parameter else 6): - return - - if len(node_data.getDistinctClassLabels()) == 1: - return - - # Only check min_child_weight if it's positive - min_weight = parameter.getMinChildWeight() if parameter else 0.0 - if min_weight > 0 and sum_hessians < min_weight: - return - - if len(instance_indices) < 2: - return - - # Find best split using XGBoost gain calculation - self.__findBestSplit(data, gradients, hessians, instance_indices, parameter) + self._data = data + self._gradients = gradients + self._hessians = hessians + self._instance_indices = instance_indices + self._parent = parent + self._parameter = parameter + self._depth = depth + self._feature_subset = feature_subset + + self._children = [] + self._condition = None + self._leaf = True + self._leaf_value = 0.0 + + # Calculate leaf value for this node + self._leaf_value = self._calculate_leaf_value() + + # Try to split the node if conditions are met + if depth < parameter.getMaxDepth() and len(instance_indices) >= parameter.getMinChildWeight(): + self._build_tree() - def __findBestSplit(self, data: InstanceList, - gradients: List[float], - hessians: List[float], - instance_indices: List[int], - parameter: XGBoostParameter) -> None: + def _calculate_leaf_value(self) -> float: """ - Find the best split using XGBoost's gain formula. + Calculate the leaf value (weight) for gradient boosting. + + For XGBoost, the leaf weight is calculated as: -sum(gradients) / (sum(hessians) + lambda) + where lambda is the regularization parameter. - Args: - data (InstanceList): Training instances - gradients (List[float]): Gradient values - hessians (List[float]): Hessian values - instance_indices (List[int]): Indices of instances to split - parameter (XGBoostParameter): Hyperparameters - Returns: - None: Updates node children if beneficial split found + float: The calculated leaf value """ - from Classification.Attribute.ContinuousAttribute import ContinuousAttribute - from Classification.Attribute.DiscreteAttribute import DiscreteAttribute - from Classification.Model.DecisionTree.DecisionCondition import DecisionCondition + if not self._instance_indices: + return 0.0 + + sum_gradients = sum(self._gradients[i] for i in self._instance_indices) + sum_hessians = sum(self._hessians[i] for i in self._instance_indices) + # Add regularization (lambda) + lambda_param = self._parameter.getRegLambda() if hasattr(self._parameter, 'getRegLambda') else 1.0 + + if sum_hessians + lambda_param > 0: + return -sum_gradients / (sum_hessians + lambda_param) + return 0.0 + + def _build_tree(self): + """Build the tree by finding the best split.""" best_gain = 0.0 - best_attribute = -1 - best_split_value = 0.0 - best_split_type = None - best_left_indices = [] - best_right_indices = [] - - reg_lambda = parameter.getRegLambda() if parameter else 1.0 - gamma = parameter.getGamma() if parameter else 0.0 - min_child_weight = parameter.getMinChildWeight() if parameter else 1.0 - - sum_gradients = sum(gradients[i] for i in instance_indices) - sum_hessians = sum(hessians[i] for i in instance_indices) - - # Determine which features to consider - if self.__feature_subset is not None: - features_to_try = self.__feature_subset - else: - features_to_try = range(data.get(0).attributeSize()) + best_feature = -1 + best_threshold = None + best_left_indices = None + best_right_indices = None + + # Try each feature + features_to_try = self._feature_subset if self._feature_subset else range(self._data.get(0).attributeSize()) - # Try each attribute - for attr_idx in features_to_try: - attribute = data.get(instance_indices[0]).getAttribute(attr_idx) + for feature_idx in features_to_try: + # Find best split for this feature + gain, threshold, left_indices, right_indices = self._find_best_split(feature_idx) - if isinstance(attribute, ContinuousAttribute): - # Sort instances by attribute value - sorted_indices = sorted(instance_indices, - key=lambda i: data.get(i).getAttribute(attr_idx).getValue()) - - left_gradient = 0.0 - left_hessian = 0.0 - - for i in range(len(sorted_indices) - 1): - idx = sorted_indices[i] - left_gradient += gradients[idx] - left_hessian += hessians[idx] - - current_value = data.get(idx).getAttribute(attr_idx).getValue() - next_value = data.get(sorted_indices[i + 1]).getAttribute(attr_idx).getValue() - - # Skip if values are identical - if abs(current_value - next_value) < self.EPSILON: - continue - - right_gradient = sum_gradients - left_gradient - right_hessian = sum_hessians - left_hessian - - # Check minimum child weight constraint (only if positive) - if min_child_weight > 0: - if left_hessian < min_child_weight or right_hessian < min_child_weight: - continue - - # Calculate gain with numerical stability - reg_term = reg_lambda if reg_lambda > 0 else 0 - gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) - gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) - gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) - - gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma - - if gain > best_gain: - best_gain = gain - best_attribute = attr_idx - best_split_value = (current_value + next_value) / 2.0 - best_split_type = 'continuous' - best_left_indices = sorted_indices[:i+1] - best_right_indices = sorted_indices[i+1:] + if gain > best_gain and gain > 0: + best_gain = gain + best_feature = feature_idx + best_threshold = threshold + best_left_indices = left_indices + best_right_indices = right_indices + + # If we found a good split, create children + if best_feature >= 0 and best_gain > 0: + self._leaf = False - elif isinstance(attribute, DiscreteAttribute): - # Get unique values for this attribute among instances in this node - value_set = set() - for idx in instance_indices: - value_set.add(data.get(idx).getAttribute(attr_idx).getValue()) - - value_list = list(value_set) - - # Try splitting on each value - for value in value_list: - left_gradient = 0.0 - left_hessian = 0.0 - left_indices = [] - right_indices = [] - - for idx in instance_indices: - if data.get(idx).getAttribute(attr_idx).getValue() == value: - left_gradient += gradients[idx] - left_hessian += hessians[idx] - left_indices.append(idx) - else: - right_indices.append(idx) - - right_gradient = sum_gradients - left_gradient - right_hessian = sum_hessians - left_hessian - - # Check minimum child weight constraint (only if positive) - if min_child_weight > 0: - if left_hessian < min_child_weight or right_hessian < min_child_weight: - continue - - # Calculate gain - reg_term = reg_lambda if reg_lambda > 0 else 0 - gain_left = (left_gradient * left_gradient) / (left_hessian + reg_term + self.EPSILON) - gain_right = (right_gradient * right_gradient) / (right_hessian + reg_term + self.EPSILON) - gain_parent = (sum_gradients * sum_gradients) / (sum_hessians + reg_term + self.EPSILON) - - gain = 0.5 * (gain_left + gain_right - gain_parent) - gamma - - if gain > best_gain: - best_gain = gain - best_attribute = attr_idx - best_split_value = value - best_split_type = 'discrete' - best_left_indices = left_indices - best_right_indices = right_indices - - # Create children if a beneficial split was found - if best_attribute != -1 and best_gain > self.EPSILON: - self.leaf = False + # Create left child + left_child = XGBoostNode( + self._data, self._gradients, self._hessians, + best_left_indices, self, self._parameter, + self._depth + 1, self._feature_subset + ) + self._children.append(left_child) - if best_split_type == 'continuous': - self.children.append( - XGBoostNode(data, gradients, hessians, best_left_indices, - DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), "<"), - parameter, self.__depth + 1, self.__feature_subset)) - self.children.append( - XGBoostNode(data, gradients, hessians, best_right_indices, - DecisionCondition(best_attribute, ContinuousAttribute(best_split_value), ">="), - parameter, self.__depth + 1, self.__feature_subset)) + # Create right child + right_child = XGBoostNode( + self._data, self._gradients, self._hessians, + best_right_indices, self, self._parameter, + self._depth + 1, self._feature_subset + ) + self._children.append(right_child) - elif best_split_type == 'discrete': - # For discrete attributes, first child gets instances with the value - # Second child gets instances without the value - # Note: We store both sets of indices since DecisionCondition != may not work correctly - left_child = XGBoostNode(data, gradients, hessians, best_left_indices, - DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), - parameter, self.__depth + 1, self.__feature_subset) - left_child._XGBoostNode__is_discrete_left = True - left_child._XGBoostNode__discrete_indices = set(best_left_indices) - - right_child = XGBoostNode(data, gradients, hessians, best_right_indices, - DecisionCondition(best_attribute, DiscreteAttribute(best_split_value)), - parameter, self.__depth + 1, self.__feature_subset) - right_child._XGBoostNode__is_discrete_left = False - right_child._XGBoostNode__discrete_indices = set(best_right_indices) - - self.children.append(left_child) - self.children.append(right_child) + self._condition = (best_feature, best_threshold) - def predictLeafValue(self, instance: Instance) -> float: + def _find_best_split(self, feature_idx: int): """ - Predict the leaf value (weight) for the given instance. + Find the best split point for a given feature. Args: - instance (Instance): Instance to predict + feature_idx (int): Index of the feature to split on Returns: - float: Predicted leaf value (weight) for this instance + tuple: (gain, threshold, left_indices, right_indices) """ - if self.leaf: - return self.__leaf_value + if not self._instance_indices: + return 0.0, None, [], [] + + # Get unique values for this feature + attribute = self._data.get(self._instance_indices[0]).getAttribute(feature_idx) + + if isinstance(attribute, ContinuousAttribute): + return self._find_best_continuous_split(feature_idx) else: - # For discrete splits, we need special handling since != doesn't work - # Check if any child has discrete split markers - has_discrete = any(hasattr(child, '_XGBoostNode__is_discrete_left') for child in self.children) + return self._find_best_discrete_split(feature_idx) + + def _find_best_continuous_split(self, feature_idx: int): + """Find best split for continuous feature.""" + values = [] + for idx in self._instance_indices: + val = self._data.get(idx).getAttribute(feature_idx).getValue() + values.append((val, idx)) + + values.sort() + + best_gain = 0.0 + best_threshold = None + best_left = [] + best_right = [] + + # Try split points between consecutive unique values + seen_values = set() + for i in range(len(values) - 1): + val1 = values[i][0] + val2 = values[i + 1][0] + + if val1 == val2 or val1 in seen_values: + continue + seen_values.add(val1) - if has_discrete and len(self.children) == 2: - # This is a discrete split - check which child matches - left_child = self.children[0] - right_child = self.children[1] - - # Get the attribute index from condition - if left_child._DecisionNode__condition: - attr_idx = left_child._DecisionNode__condition._DecisionCondition__attribute_index - split_value = left_child._DecisionNode__condition._DecisionCondition__value.getValue() - instance_value = instance.getAttribute(attr_idx).getValue() - - # If instance value matches split value, go left; otherwise go right - if instance_value == split_value: - return left_child.predictLeafValue(instance) - else: - return right_child.predictLeafValue(instance) + threshold = (val1 + val2) / 2.0 - # Normal continuous split or fallback - for node in self.children: - if node._DecisionNode__condition.satisfy(instance): - return node.predictLeafValue(instance) + left_indices = [idx for val, idx in values if val <= threshold] + right_indices = [idx for val, idx in values if val > threshold] - # Fallback: if no condition matched, use first child - if len(self.children) > 0: - return self.children[0].predictLeafValue(instance) + if len(left_indices) < self._parameter.getMinChildWeight() or \ + len(right_indices) < self._parameter.getMinChildWeight(): + continue + + gain = self._calculate_split_gain(left_indices, right_indices) + + if gain > best_gain: + best_gain = gain + best_threshold = threshold + best_left = left_indices + best_right = right_indices + + return best_gain, best_threshold, best_left, best_right + + def _find_best_discrete_split(self, feature_idx: int): + """Find best split for discrete feature.""" + # Group instances by feature value + groups = {} + for idx in self._instance_indices: + val = str(self._data.get(idx).getAttribute(feature_idx).getValue()) + if val not in groups: + groups[val] = [] + groups[val].append(idx) + + best_gain = 0.0 + best_threshold = None + best_left = [] + best_right = [] + + # Try each value as a split point + values = sorted(groups.keys()) + for split_val in values: + left_indices = groups[split_val] + right_indices = [idx for idx in self._instance_indices if idx not in left_indices] - # Ultimate fallback - return self.__leaf_value \ No newline at end of file + if len(left_indices) < self._parameter.getMinChildWeight() or \ + len(right_indices) < self._parameter.getMinChildWeight(): + continue + + gain = self._calculate_split_gain(left_indices, right_indices) + + if gain > best_gain: + best_gain = gain + best_threshold = split_val + best_left = left_indices + best_right = right_indices + + return best_gain, best_threshold, best_left, best_right + + def _calculate_split_gain(self, left_indices: List[int], right_indices: List[int]) -> float: + """ + Calculate the gain from a split. + + XGBoost gain formula: + Gain = 0.5 * [G_L^2 / (H_L + lambda) + G_R^2 / (H_R + lambda) - G^2 / (H + lambda)] - gamma + + where: + - G_L, H_L: sum of gradients and hessians on left + - G_R, H_R: sum of gradients and hessians on right + - G, H: sum of gradients and hessians on current node + - lambda: L2 regularization + - gamma: complexity penalty + """ + if not left_indices or not right_indices: + return 0.0 + + sum_grad_left = sum(self._gradients[i] for i in left_indices) + sum_hess_left = sum(self._hessians[i] for i in left_indices) + + sum_grad_right = sum(self._gradients[i] for i in right_indices) + sum_hess_right = sum(self._hessians[i] for i in right_indices) + + sum_grad = sum_grad_left + sum_grad_right + sum_hess = sum_hess_left + sum_hess_right + + lambda_param = self._parameter.getRegLambda() if hasattr(self._parameter, 'getRegLambda') else 1.0 + gamma = self._parameter.getGamma() if hasattr(self._parameter, 'getGamma') else 0.0 + + # Avoid division by zero + if sum_hess_left + lambda_param <= 0 or sum_hess_right + lambda_param <= 0 or sum_hess + lambda_param <= 0: + return 0.0 + + # Calculate gain + left_score = (sum_grad_left ** 2) / (sum_hess_left + lambda_param) + right_score = (sum_grad_right ** 2) / (sum_hess_right + lambda_param) + parent_score = (sum_grad ** 2) / (sum_hess + lambda_param) + + gain = 0.5 * (left_score + right_score - parent_score) - gamma + + return max(0, gain) + + def predictLeafValue(self, instance: Instance) -> float: + """ + Predict the leaf value for a given instance. + + Args: + instance (Instance): The instance to predict for + + Returns: + float: The predicted value (leaf weight) for this instance + """ + if self._leaf: + return self._leaf_value + + feature_idx, threshold = self._condition + + # Get feature value and compare with threshold + feature_value = instance.getAttribute(feature_idx).getValue() + + if isinstance(threshold, float): + # Continuous feature + if feature_value <= threshold: + return self._children[0].predictLeafValue(instance) + else: + return self._children[1].predictLeafValue(instance) + else: + # Discrete feature + if str(feature_value) == threshold: + return self._children[0].predictLeafValue(instance) + else: + return self._children[1].predictLeafValue(instance) diff --git a/Classification/Model/DecisionTree/XGBoostTree.py b/Classification/Model/DecisionTree/XGBoostTree.py index 9aca770..71ba82d 100644 --- a/Classification/Model/DecisionTree/XGBoostTree.py +++ b/Classification/Model/DecisionTree/XGBoostTree.py @@ -21,7 +21,7 @@ class XGBoostTree(DecisionTree): feature subsampling. Attributes: - _DecisionTree__root (XGBoostNode): Root node of the decision tree + _root (XGBoostNode): Root node of the decision tree """ def __init__(self, data: InstanceList, @@ -41,15 +41,15 @@ def __init__(self, data: InstanceList, including max depth, regularization, and feature sampling """ # Determine feature subset for this tree (colsample_bytree) - feature_subset = None + _feature_subset = None if parameter and parameter.getColsampleByTree() < 1.0: n_features = data.get(0).attributeSize() n_sample = max(1, int(n_features * parameter.getColsampleByTree())) - feature_subset = random.sample(range(n_features), n_sample) + _feature_subset = random.sample(range(n_features), n_sample) - root = XGBoostNode(data, gradients, hessians, instance_indices, - None, parameter, 0, feature_subset) - self._DecisionTree__root = root + _root = XGBoostNode(data, gradients, hessians, instance_indices, + None, parameter, 0, _feature_subset) + self._DecisionTree__root = _root def predictValue(self, 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